Something More for Research

Explorer of Research #HEMBAD

Archive for the ‘Research Menu’ Category

Build and Use OpenBLAS in Microsoft Visual Studio

Posted by Hemprasad Y. Badgujar on March 27, 2015


Build and Use OpenBLAS in Microsoft Visual Studio

As of OpenBLAS v0.2.10, it is currently only possible on Windows to build OpenBLAS with MinGW. The resulting library can be used in Visual Studio, but it can only be linked dynamically. This configuration has not been thoroughly tested and should be considered experimental.

Incompatible x86 calling conventions

Due to incompatibilities between the calling conventions of MinGW and Visual Studio you will need to make the following modifications ( 32-bit only ):

  1. Use the newer GCC 4.7.0. The older GCC (<4.7.0) has an ABI incompatibility for returning aggregate structures larger than 8 bytes with MSVC.

Build OpenBLAS on Windows OS

  1. Install the MinGW (GCC) compiler suite, either 32-bit (http://www.mingw.org/) or 64-bit (http://mingw-w64.sourceforge.net/). In addition, please install MSYS with MinGW.
  2. Build OpenBLAS in the MSYS shell. Usually, you can just type “make”. OpenBLAS will detect the compiler and CPU automatically.
  3. After the build is complete, OpenBLAS will generate the static library “libopenblas.a” and the shared dll library “libopenblas.dll” in the folder. You can type “make PREFIX=/your/installation/path install” to install the library to a certain location.

**Notice. We suggest using official MingWin or MingWin-w64 compilers. A user reported that s/he met Unhandled exception by other compiler suite.https://groups.google.com/forum/#!topic/openblas-users/me2S4LkE55w

Generate import library (before 0.2.10 version)

  1. First, you will need to have the lib.exe tool in the Visual Studio command prompt.
  2. Open the command prompt and type cd OPENBLAS_TOP_DIR/exports, where OPENBLAS_TOP_DIR is the main folder of your OpenBLAS installation.
  3. For a 32-bit library, type lib /machine:i386 /def:libopenblas.def. For 64-bit, typelib /machine:X64 /def:libopenblas.def.
  4. This will generate the import library “libopenblas.lib” and the export library “libopenblas.exp” in OPENBLAS_TOP_DIR/exports. Although these two files have the same name, they are totally different.

Generate import library (0.2.10 and after version)

  1. OpenBLAS already generated the import library “libopenblas.dll.a” for “libopenblas.dll”.

Use OpenBLAS .dll library in Visual Studio

  1. Copy the import library (before 0.2.10: “OPENBLAS_TOP_DIR/exports/libopenblas.lib”, 0.2.10 and after: “OPENBLAS_TOP_DIR/libopenblas.dll.a”) and .dll library “libopenblas.dll” into the same folder.
  2. Please follow the documentation about using third-party .dll libraries in MS Visual Studio 2008 or 2010. Make sure to link against a library for the correct architecture. For example, you may receive an error such as “The application was unable to start correctly (0xc00007b)” which typically indicates a mismatch between 32/64-bit libraries.

Notice. If you need CBLAS, you should include cblas.h in /your/installation/path/include in Visual Studio. Please read this page.

Limitations

  • Both static and dynamic linking are supported with MinGW. With Visual Studio, however, only dynamic linking is supported and so you should use the import library.
  • Debugging from Visual Studio does not work because MinGW and Visual Studio have incompatible formats for debug information (PDB vs. DWARF/STABS). You should either debug with GDB on the command-line or with a visual frontend, for instanceEclipse or Qt Creator.

Posted in Computer Softwares, Installation, Research Menu | Tagged: , , , , , | Leave a Comment »

Image Processing Algorithms and Codes

Posted by Hemprasad Y. Badgujar on February 5, 2015


Algorithms The Image Processing and Measurement Cookbook by Dr. John C. Russ
www.reindeergraphics.com/tutorial/index.shtml

Conference Papers
http://poseidon.csd.auth.gr/papers/confers.l_ind.html

Computer Vision Source Code
www.cs.cmu.edu/afs/cs/project/cil/ftp/html/txtv-source.html

Algorithms
www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip–7.html

Basic image processing demos showing some basic image processing filters: thresholding, Gaussian filter, and Canny edge detector using MATLAB.
http://robotics.eecs.berkeley.edu/~sastry/ee20 or
http://robotics.eecs.berkeley.edu/~mayi/imgproc

Gaussian Masks, Scale Space and Edge Detection
www.cogs.susx.ac.uk/users/davidy/teachvision/vision3.html

The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
www.fmrib.ox.ac.uk/~steve/susan

Vision Systems Course
www.cm.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html

Various Simple Image Processing Techniques
http://astronomy.swin.edu.au/~pbourke/colour/imageprocess

Algorithms commonly used in spectral processing methods
www.galactic.com/Algorithms

Beyond Photography — The Digital Darkroom
http://www.spinroot.com/pico  (online, Jan 2003)

Alpha blending pp. 150-154,  High Performance Computer Imaging
Antialiasing Aliasing and Antialiasing
www.education.siggraph.org/slides/slides93/28_93.htm

Antialiasing with Line Samples
www.merl.com/reports/TR2000-21/index.html

Anti-vignetting http://starmatt.com/articles/av.html
Area efg’s Polygon Area and Centroid Lab Report
Astrophotos Post-Processing Astrophotos
How to Put the Astro in Photographer
Star Shaping
Authentication Image Authentication for a Slippery New Age, Dr. Dobb’s Journal, April 1995.
www.ddj.com/articles/1995/9504/9504a/9504a.htm
Bar Codes Introduction to Bar Coding
www.taltech.com/resources/intro_to_bc/introbc.htm
Biometrics Intelligent Biometric Techniques in Fingerprint and Face Recognition (book)

Also see Recognition, Faces and Recognition, Fingerprints below.

Books Digital Image Processing Algorithms and Applications
US  UK  DE
Centroid efg’s Polygon Area and Centroid Lab Report
Also see “Moments of Inertia” below
Chain Codes 7. Processing Line Drawings
http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html
Chromaticity Charts efg’s Color Reference Library
Classification Jean Vezina’s  automatic tree species identification from digitized aerial photographs.  PowerPoint presentation for forestry audience, TreeID.ZIP.      Abstract.

Fourier Descriptors Allow Web-Inspection System to Classify Plastic Shapes
Vision Systems Design, Dec. 98, pp. 25-35

Image Processing and Neural Networks Classify Complex Defects
Vision Systems Design, Mar. 99, pp. 63-70

Chapter 17, Classification, pp. 509-520
Practical Handbook on Image Processing for Scientific Applications

Compression Image Compression, pp. 179-215
Digital Image Processing:  Principles and Applications

Image Compression, Chapter 9
Simplified Approach to Image Processing

Compression Links
www.compression-pointers.com

Chapter 6, Image Compression, pp. 307-412
Digital Image Processing

Chapter 9, Image data compression, High Performance Computer Imaging
Huffman, run-length, DCT, JPEG (lossy and lossless), MPEG

Mitsuharu ARIMURA’s Bookmarks on Source Coding/Data Compression
www.hn.is.uec.ac.jp/~arimura/compression_links.html

Condensation The Condensation Algorithm
www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/ISARD1/condensation.html
Contrast Contrast Stretching, pp. 54-59
Simplified Approach to Image Processing

Contrast Perception
www.imagecontent.com/lucis/cpe.html

 efg’s HistoStretchGrays Lab Report

Contrast Manipulation, pp. 228-232
The Image Processing Handbook

Also see Histograms below.

Counting Peaks Algorithm for counting peaks on chart
efg’s UseNet Post
efg’s Pixel Profile Lab Report
Deconvolution Deconvolution, Fourier-Self
www.galactic.com/Algorithms/deconvle_fs.htm

Blind Deconvolution Page
www.ls.eso.org/lasilla/Telescopes/360cat/adonis/Idac/bd/bd.html

De-mosaicing Digital Camera Designers Face a Maze of Trade-Offs
www.eetimes.com/news/98/1003news/digital_camera.html
Detection, Buildings Building Detection in Aerial Images
www.imm.dtu.dk/documents/users/bro/thesis.abstract.html
Detection, Corners The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
www.fmrib.ox.ac.uk/~steve/susan
Detection, Edges Edge Detection, pp. 79-85
Simplified Approach to Image Processing

A New Method of Edge Detection
www.prettyview.com/edge/edge.shtml

3. Differentiation, Sharpening, Enhancement, Caricatures and Shape Morphing
http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html

Evaluation of Subpixel Line and Edge Detection Precision and Accuracy
http://www9.informatik.tu-muenchen.de/papers/1998/ISPRS-Comm-III-98-Steger.abstract.html

Contour Extraction
www.geocities.com/kimdesok/Adoic/contour.html

Edge Detection
www.cs.cf.ac.uk/Dave/Vision_lecture/node24.html#SECTION00150000000000000000

Canny Edge Detector Code
ftp://figment.csee.usf.edu/pub/Edge_Comparison/source_code/canny.src

The Canny Edge Detector
www.cogs.susx.ac.uk/users/davidy/teachvision/vision3.html#heading7

Edges — The Canny Edge Detector
www.icbl.hw.ac.uk/marble/vision/low/edges/canny.htm

“An Imaging Edge:  Tips and Technique for Edge Extraction”
Advanced Imaging, Jan 99, pp. 36-40

Understanding Edge- and Line-Based Segmentation
Vision Systems Design, Mar. 99, pp. 27-32
www.vision-systems-design.com/vsd/archive/1999/03/0399soft.html

“Data Structures:  Your Mind Doesn’t Process Pixels, so why Should Your Software?”
Advanced Imaging, Mar 99, pp. 34-35, 55
Gives example of Kanizsa Square that has illusory edges.

J.F. Canny, “A computational approach to edge detection”, IEEE Patt. Anal.
Machine Intell., Vol. 8, No. 6, pp. 55-73, 1990.

Sobel Masks for Edge Detection
www.cogs.susx.ac.uk/users/davidy/teachvision/vision2.html

Line and edge detection:  One simple test image
http://w3.ualg.pt/~dubuf/pubdat/ledge/ledge.html

The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
www.fmrib.ox.ac.uk/~steve/susan

Edges:  The Occurrence of Local Edges
www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MARBLE/low/edges/occur.htm

Chapter 1, Advanced Edge-Detection Techniques
Algorithms for Image Processing and Computer Vision

Chapter 12, Edges and Lines, pp. 387-413
Practical Handbook on Image Processing for Scientific Applications

pp. 177-179, High Performance Computer Imaging

Distortion Eliminating Distortion in Your Imaging System
www.edmundoptics.com/techsup/pdf/elim-distortion.pdf

Nonlinear Lens Distortion
http://astronomy.swin.edu.au/~pbourke/projection/nonlinear

Dithering Gernot Hoffmann’s “Dithering + Halftoning” (includes Hilbert-Peano dithering, Floyd-Steinberg dithering)
www.fho-emden.de/~hoffmann/hilb010101.pdf

Floyd-Steinberg
http://thorkildsen.no/faqsys/docs/dither.c

Dithering
http://thorkildsen.no/faqsys/docs/dither5.txt
http://thorkildsen.no/faqsys/docs/dither9.txt
http://thorkildsen.no/faqsys/docs/dither10.txt
http://thorkildsen.no/faqsys/docs/dither2.txt

Average, Floyd-Steinberg, Ordered, Random Dithering
www.visgraf.impa.br/Courses/ip00/proj/Dithering1/algoritmos_desenvolvidos.htm

Test Page for Color Map Quantization (including Floyd-Steinberg error diffusion)
www.cs.berkeley.edu/~laura/colormaps.html

Halftoning
www.cs.cmu.edu/afs/cs/user/webb/html/halftoning-paper.htm

“A Balanced Dithering Technique,” December 1998C/C++ Users Journal

“Classic” dithering notes by Lee Cocker

Encryption / Decryption    efg’s ImageCrypt Lab Report
Enhancement “Understanding Image Enhancement”
median filter, rank filter, Nagao filter (edge-enhancement and image smoothing), Weymouth/Overton filter, contrast enhancement
Vision Systems Design, July 1998, pp. 23-25; August 1998, pp. 21-24

Chapter 4, Image Enhancement, pp. 227-304
The Image Processing Handbook

Chapter 4, pp. 161-251
Digital Image Processing
, 2nd edition

Erosion Dr. John Russ’ UseNet Post about erosion
Also see Skeletonization

Erosion and Dialation, pp. 129-135
Digital Image Processing:  Principles and Applications

Feature Extraction Digital Image Processing:  Principles and Applications, pp. 153-167
Filters Digital Filters
www.dai.ed.ac.uk/HIPR2/filtops.htm

“Understanding Image-Filtering Algorithms”
spatial frequency, low-pass filtering, median filtering, high-pass, low-stop
Vision Systems Design, June 1998, pp. 19-24

Chapter 6, Image neighborhood filtering
High Performance Computer Imaging

Section 4.3, Spatial Filtering, pp. 189-200
Section 4.4, Enhancement in the Frequency Domain, pp. 201-218
Digital Image Processing
, 2nd edition

Image Filtering in the Frequency Domain
http://astronomy.swin.edu.au/~pbourke/analysis/imagefilter

Image Transformations and Filters
www.dai.ed.ac.uk/CVonline/transf.htm

Filters, Convolution Note from Lazikas o Pontios about convolution filters.

Dr. John Russ’ UseNet Post to comp.graphics.algorithms (19 July 2000):
“… applying convolutions to the RGB channels in an image is usually wrong. For most purposes processing the image in an HSI space and modifying only the channel, leaving the color information alone, produces the best results”

Convolution
www.cogs.susx.ac.uk/users/davidy/teachvision/vision2.html

Convolution, pp. 67-73
Simplified Approach to Image Processing

Section 6.3, Linear filtering using convolution, High Performance Computer Imaging.
Discusses alternatives wasy to handle boundary pixels:
zero fill the edges, don’t write the edges, extend the edges, reflect the edges

Chris Russ’ UseNet Post about Fast Convolution Algorithms

Filters, Derivatives pp. 250-254, The Image Processing Handbook

Filters, Sobel and Kirsch
pp. 255-268, The Image Processing Handbook
pp. 178-179, High Performance Computer Imaging

First Order Derivatives Operators, pp. 86-88
Roberts, Prewitt, Sobel, Frei-Chen;
Second Order Derivative Operators, pp. 88-93
Prewitt, Kirsch, Robinson (3-level, 5-level)
Simplified Approach to Image Processing

Filters, Laplacian pp. 242-250,  The Image Processing Handbook

Gaussian Filter
www.fho-emden.de/~hoffmann/gauss25092001.pdf

LoG (Laplacian of Gaussian):  Chris Russ’ UseNet Post about LoG operators of various sizes

Filters,
Median and Rank
Optimal median smoothing, Applied Statistics, 44(2): 258-264, W. Haerdle, W. and M. Steiger, 1995.
Haerdle and Steiger’s approach is O(log p) per pixel, where p is the width of the kernel.
ftp://amadeus.wiwi.hu-berlin.de/pub/papers/sfb373/sfb1994/dpsfb940015.ps.Z

Median Filtering, pp. 95-107 (includes color median filtering, p. 103)
Simplified Approach to Image Processing

Fast Median Search: an ANSI C implementation
http://ndevilla.free.fr/median

Median Filter
www.dca.fee.unicamp.br/dipcourse/html-dip/c9/s3/front-page.html
www.cee.hw.ac.uk/hipr/html/median.html

Adaptive Center Weighted Median Filter
http://Astro.MartianBachelor.com/CB245/ACWM.html

Filtre Médian (3×3, 5×5)
http://callisto.si.usherb.ca/~98715732/ift539/

Diagram of optimal way to compute median value from 3×3 array in hardware. Use the same logic in software. www.xilinx.com/xcell/xl23/xl23_16.pdf

Median filters are useful tools in digital signal processing. Wesley examines their use for removing impulsive signal noise while maintaining signal trends. Additional resources include aa1099.txt(listings).
Dr. Dobb’s Journal, October 1999.  www.ddj.com/articles/1999/9910/9910toc.htm

Spyros’ UseNet Post about  Huang’s Algorithm

Rank operations, pp. 268-277
The Image Processing Handbook

Section 6.4, Nonlinear filtering I:  the median filter and its variations
High Performance Computer Imaging

Filters, Morphological Section 6.5, High Performance Computer Imaging
Nonlinear filtering II:  morphological filters
Filters, Sharpening p. 177, High Performance Computer Imaging. Includes discussion of unsharp masking.

3. Differentiation, Sharpening, Enhancement, Caricatures and Shape Morphing
http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html

Sharpening, pp. 77-79
Simplified Approach to Image Processing

Filters, Smoothing pp. 176-177, High Performance Computer Imaging

Gaussian Smoothing
www.dai.ed.ac.uk/HIPR2/gsmooth.htm

Filters, Unsharp Mask Chris Russ’ UseNet Post about implementing unsharp mask
Chris Russ’ UseNet Post about two common uses for unsharp mask

Unsharp masking is a photographic technique that increases the sharpness of photographic images. Tim presents an algorithm that implements this concept.   Additional resources include aa1199.zip (source code).
Dr. Dobb’s Journal, Nov. 1999.  www.ddj.com/articles/1999/9911/9911toc.htm

Fingerprints See Recognition, Fingerprints
Fluorescence Imagnig Fluorescence Imaging Applications Guide
Fluorescence Imaging Principles and Methods
Focus Chris Russ’ UseNet Post about AutoFocus methods
Fractal analysis pp. 282-288, The Image Processing Handbook
Gray Scales Perceptually Optimized Grayscales
www.fho-emden.de/~hoffmann/optigray06102001.pdf
Gamma correction efg’s Color Reference Library
Gray Scale Images Fast Gaussian blurring; Operations on gray scale images; Generalized order statistic filters; Contour construction for 2D image.  (Requires Magic Software)
www.magic-software.com/im_gray.htm
Halftoning A Review of Halftoning Techniques

Digital Halftoning, Chapter 6
Simplified Approach to Image Processing

Gernot Hoffmann’s “Dithering + Halftoning” 
www.fho-emden.de/~hoffmann/hilb010101.pdf

Histogram equalization Use of computer graphic simulation to explain color histogram structure
www.graphics.cornell.edu/pubs/1997/PLG97.html

pp. 233- 241, The Image Processing Handbook
pp. 146-150,  High Performance Computer Imagingincludes discussion of adaptive histogram equalization

Histograms Display/Print Histograms (R, G, B, H, S, V)
efg’s
 Show Image

  efg’s HistoStretchGrays Lab Report

Histogram-base Operations: Contrast stretching, equalization
www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-istogram.html

Histogram Specification, pp. 49-54
Simplified Approach to Image Processing

Histogram-based operations, pp. 143-150
High Performance Computer Imaging

Three-way histograms (RGB, YUV, HSI)
The Image Processing Handbook

Section 4.2.2, Histogram Processing, pp. 171-185
Digital Image Processing
, 2nd edition

Hough Transform Hough Transform:  Journal and Conference Papers
http://ipml.ee.duth.gr/~papamark/Hough.html

8. Detection of Structure in Noisy Pictures and Dot Patterns
http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html

On the Efficient Sampling Interval of the Parameter in Hough Transform
www.ecip.tohoku.ac.jp/~hgot/HT

Hough Transforms
www.cogs.susx.ac.uk/users/davidy/teachvision/vision4.html
www.cs.cf.ac.uk/Dave/Vision_lecture/node32.html#SECTION00162000000000000000

XHoughTool
www.lut.fi/dep/tite/XHoughtool/xhoughtool.html

Kim Madsen’s UseNet Post about Hough Transform

Image Analogies http://mrl.nyu.edu/projects/image-analogies/index.html
Image Query Fast Multiresolution Image Querying
www.cs.washington.edu/research/projects/grail2/www/projects/query

Shape Queries Using Image Databases
www.ee.surrey.ac.uk/Research/VSSP/imagedb/demo.html

Also see book Wavelets for Computer Graphics

Interpolation and Extrapolation See Resampling

Michel Chabroux’s UseNet Post explaining bilinear interpolation

Jitter Infrared jitter imaging data reduction algorithms
www.eso.org/projects/dfs/papers/jitter99
Lens Transformation http://thorkildsen.no/faqsys/docs/lens.txt

Nonlinear Lens Distortion
http://astronomy.swin.edu.au/~pbourke/projection/nonlinear

Computer Generated Angular Fisheye Projections
http://astronomy.swin.edu.au/~pbourke/projection/fisheye

Eric Rudd’s UseNet Post about fisheye lens simulation

Lighting efg’s Color Reference Library
Masks Chapter 7, Processing Binary Images, pp. 431-508
The Image Processing Handbook
Measurements Chapter 8, Image Measurements, pp. 509-574
The Image Processing Handbook

Chapter 16, Size and Shape, pp. 485-508
Practical Handbook on Image Processing for Scientific Applications

Metamorphisis Feature-Based Image Metamorphosis
www.hammerhead.com/thad/morph.html
Metrology Metrology based on Computer Vision
www.cranfield.ac.uk/sme/amac/research/metrology/metrology.html
Moiré Methods “Moiré Methods Make Shape Recognition Easier”
Vision Systems Design, March 1997, pp. 32-37

Modelization of the Moiré Phenomenon
http://diwww.epfl.ch/w3lsp/pub/publications/moire

Moiré Effects With Overlayed Line Screens
www.education.siggraph.org/slides/slides95/s13.htm

Moments of Inertia www.cm.cf.ac.uk/Dave/AI2/node194.html

On the Calculation of Arbitrary Moments of Polygons
http://www9.informatik.tu-muenchen.de/forschung/fgbv/tech-reports/1996/FGBV-96-05-Steger.abstract.html

Morphology Understanding mathematical morphology 
Vision Systems Design
, May 1999

Understanding more mathematical morphology 
Vision Systems Design, June 1999

Morphological Image Analysis:  Principles and Applications (June 1999). Author’s page

The Morphology Digest is intended as a forum between workers in the field of Mathematical Morphology and related fields (stochastic geometry, random set theory, image algebra, etc.).
www.cwi.nl/ftp/morphology/digest

Mathematical Morphology and Image Interpolation
http://cmm.ensmp.fr/~beucher/interpol/interpol.html

SDC Morphology Toolbox for MATLAB:   includes fast queue-based algorithms for distance transform, watershed, reconstruction, labeling, area-opening, etc.
www.mmorph.com

Mosaicing Rho Ophiucus Mosiac Processing Example
www.jps.net/jrfcomet/tech/rho.htm

An Introduction to Image Mosaicing
www.pitt.edu/~sevgum/research/mosaicing

Image Registration and Mosaicking
www.PrettyView.com/mtch/mtch.shtml

Automatic Panoramic Image Merging
www.sgi.com/grafica/merge/index.html

Mosaicing with Super Resolution
www.cs.huji.ac.il/~zomet/superResolution.html

Motion Image Sequence Segmentation
www.uwm.edu/~gjb/thesis.html

Estimation of Visual Motion in Image Sequences
www.imm.dtu.dk/documents/users/rl/publications/abstracts/phdthesis.abstract.html

Chris Russ’ UseNet Post with suggestion on how to detect motion by image difference

Section 5.4.2, Removal of Blur Caused by Uniform Linear Motion, pp. 272-278
Section 7.5, The Use of Motion in Segmentation
Digital Image Processing

Motion
www.cogs.susx.ac.uk/users/davidy/teachvision/vision6.html

Introduction to Active Contours and Visual Dynamics
www.robots.ox.ac.uk/~ab/dynamics.html

Motion and Time Sequence Analysis
www.dai.ed.ac.uk/CVonline/motion.htm

Thomas Kragh’s UseNet Post about Motion Blur

Chapter 13, Orientation and Velocity, 415-440
Practical Handbook on Image Processing for Scientific Applications

Neural Networks Neural Network as a Tool for Feature Selection
www.prettyview.com/ann/nnfs.shtml
Noise Removal Noise Removal from Images
www.math.berkeley.edu/~sethian/Movies/Movienoiseremoval.html

The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
www.fmrib.ox.ac.uk/~steve/susan

Median filters are useful tools in digital signal processing. Wesley examines their use for removing impulsive signal noise while maintaining signal trends. Additional resources include aa1099.txt(listings).
Dr. Dobb’s Journal, October 1999.  www.ddj.com/articles/1999/9910/9910toc.htm

Also see Median Filters

Nyquist Limit Using a Nyquist Chart to Evaluate Digital Camera Systems
Part 1.
www.photobit.com/Technology/White_Papers/Using_a_Nyquist_Chart_1/using_a_nyquist_chart_1.htm

Part 2.
www.photobit.com/Technology/White_Papers/Using_a_Nyquist_Chart_2/using_a_nyquist_chart_2.htm

Optimization Using MMX Technology to Speed Up Machine Vision Algorithms
Part 1. www.imaging.com/techinfo/tutorials/00000009/tutorial.html
Part 2. www.imaging.com/techinfo/tutorials/00000015/tutorial.html
Panoramic Images Helmut Dersch’s “Panorama Tools: Documentation, Info and More Uses”
http://www.fh-furtwangen.de/~dersch

(Be wary of IPIX, however.)

Perimeter efg’s E-mail to Engineering Student at kmutt about how to computer perimeter of an object
Photogrammetry See General Info page
Point Operations Monadic image operations:  add constant, subtract constant, multiply constant, divide into constant, divide by constant, or constant, and constant, xor constant

Diadic image operations:  add, subtract, multiply, divide, min,max, or, and, xor

Radon Transform http://eivind.imm.dtu.dk/staff/ptoft/Radon/Radon.html
Recognition Recognizing Flexible Objects
www.cs.cornell.edu/vision/pff/boom99

Point Pattern Matching
http://web.archive.org/web/*/http://www.eso.org/~ndevilla/point2  (Using Wayback Machine)

Chris Russ’ UseNet Post about fixing broken lines in image recognition

Pattern Classification and Scene Analysis (book)

“Moiré Methods Make Shape Recognition Easier”
Vision Systems Design, March 1997, pp. 32-37

Chapter 9, Recognition and Interpretation, pp. 571-661
Digital Image Processing

See also Skeletonization

Recognition, Faces The Face Detection Home Page
www.facedetection.com

Face Recognition Home Page
www.cs.rug.nl/~peterkr/FACE/face.html

Multi-Modal System for Locating Heads and Faces
www.research.att.com/library/trs/TRs/96/96.5/96.5.1/96.5.1.abs.html

Locating Faces and Facial Parts
www.research.att.com/library/trs/TRs/96/96.4/96.4.1/96.4.1.body.htm

Bayesian Modeling of Facial Similarity
www.merl.com/reports/TR99-13/index.html

Computer Vision Face Tracking For Use in a Perceptual User Interface
http://developer.intel.com/technology/itj/q21998/articles/art_2.htm

The Biometric Consortium, Research and Databases
Face, Fingerprints, Handwriting, Voice
www.biometrics.org/html/research.html

Face detection, recognition and analysis
www.cvc.uab.es/~jordi/cares.html

Intelligent Biometric Techniques in Fingerprint and Face Recognition 
US  UK

Recognition, Fingerprints Biometrics
http://dmoz.org/Computers/Security/Biometrics

The Biometric Consortium, Reseat and Databases
Face, Fingerprints, Handwriting, Voice
www.biometrics.org/html/research.html

Fingerprint Enhancement, www.kttech.com/fingerpr.html

FBI Fingerprint Image Compression Standard
www.c3.lanl.gov/~brislawn/FBI/FBI.html

FAQ about FBI’s Wavelet/Scalar Quantization Specification for compression of digitized gray-scale fingerprint images.
ftp://ftp.c3.lanl.gov/pub/misc/WSQ/FBI_WSQ_FAQ

Intelligent Biometric Techniques in Fingerprint and Face Recognition    US  UK

Recognition, Handwriting The Biometric Consortium, Reseat and Databases
Face, Fingerprints, Handwriting, Voice
www.biometrics.org/html/research.html

Fingerprints and handwriting
www.vision1.com/imagedb.html

NIST Form-Based Handprint Recognition System
www.nist.gov/itl/div894/894.03/databases/defs/nist_ocr.html

Recognition, Iris Iris Recognition Homepage
www.iris-recognition.org
Recognition, License Plates Vehicle Number Plate Recognition Home Page
Universidade de Trás-os-Montes e Alto Douro
www.utad.pt/numberplate

A Neural Network Based Artificial Vision System for Licence Plate Recognition
www.wspc.com/journals/ijns/81/drag.html

Recognition, Optical Character (OCR) Character Recognition
http://web.mit.edu/stanrost/www/cs585p1/p1.html

Optical Character Recognition:  Journal and Conference Papers
http://ipml.ee.duth.gr/~papamark/OCR.html

Character Recognition
http://www.cedar.buffalo.edu/Publications/TechReps/OCR/ocr.html

OCR/ICR Documents
www.alumni.caltech.edu/~dave/patothr.html

Character Recognition by Feature Point Extraction
www.ccs.neu.edu/home/feneric/charrec.html

Document Understanding and  Character Recognition WWW Server
http://documents.cfar.umd.edu

Chapter 8, Optical Character Recognition, pp. 275-304
Chapter 9, Symbol Recognition, pp. 305-356
Algorithms for Image Processing and Computer Vision

Geometry in Action
www.ics.uci.edu/~eppstein/gina/char.html

Recognition, Pattern Pattern Recognition Links
http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html

Understanding Pattern RecognitionVisions Systems Design, July 1999.
Understanding More Pattern-Recognition Techniques, Visions Systems Design, Aug 1999, pp. 21-25

Pattern Recognition Resources, www.dcs.ex.ac.uk/paa/resources.htm

Pattern Recognition Information, www.ph.tn.tudelft.nl/PRInfo.html

Statistical Pattern Recognition & Artificial Neural Network Library
SPRLIB & ANNLIB.  www.ph.tn.tudelft.nl/~sprlib

Optimizing Vision Applications: Which is Better, Blob-Centroid or Grayscale Search?
www.imaging.com/techinfo/tutorials/00000016/tutorial.html

“Red Eye” See efg’s  Color and Computers page
Representation Chapter 8, Representation and Description, pp. 483-569
Digital Image Processing
Resampling Advanced Image Processing:  Image Interpolation and Filtering
www.engineering.uiowa.edu/~gec/248_s00_students/blake_carlson/hw2

Interpolation for Scaling, Rotation, Perspective and Morphing
www.fho-emden.de/~hoffmann/interpol181100.pdf

Interpolation (Nearest Neighbor, Bilinear, Cubic Convolution, B-Spline), pp. 110-123
Simplified Approach to Image Processing

Digital Image Processing:  Principles and Applications, pp. 117-122

Image Processing By Interpolation and Extrapolation
www.sgi.com/grafica/interp/index.html

Efficient Image Magnification by Bicubic Spline Interploation
http://members.bellatlantic.net/~vze2vrva/design.html

Mathematical Morphology and Image Interpolation
http://cmm.ensmp.fr/~beucher/interpol/interpol.html

Section 8.3.2, “Interpolation,” in
Practical Handbook on Image Processing for Scientific Applications  
p. 269

Paul Heckbert’s “zoom” program
www.cs.cmu.edu/~ph/src/zoom

Non-Linear Magnification Home Page
http://www.cs.indiana.edu/hyplan/tkeahey/research/nlm/nlm.html

Note from Lazikas o Pontios abut Resampling to zoom.

Testing Interpolator Quality
www.fh-furtwangen.de/~dersch/interpolator/interpolator.html

Restoration, Reconstruction Electronic Imaging, a Tool for the Reconstruction of Faded Color Photographs
http://www.foto.unibas.ch/research/paper1/restor.html

Image Restoration
www.dca.fee.unicamp.br/dipcourse/html-dip/c7/c7.html

“Novel Blind Deconvolution Techniques Restore Blurred Images”
Researchers are using blind-image deconvolution to automatically deblur telescope and microscope images.
Vision Systems Design, Nov. 98, pp. 35-41

Chapter 3, Correcting Image Defects, pp. 161-226
The Image Processing Handbook

Chapter 5, Image Restoration, pp. 253-306
Digital Image Processing

Chapter 6, Image Restoration, pp. 220-249
Algorithms for Image Processing and Computer Vision

Chapter 9, Restoration and Reconstruction, pp. 287-306
Practical Handbook on Image Processing for Scientific Applications

Rotation Turn, Turn, Turn:  Using the Graphics Class to Rotate Images
http://msdn.microsoft.com/library/periodic/period99/turn.htm

HOWTO: Display a Bitmap into a Rotated or Non-rectangular Area
(Using Windows 2000 “WarpBlt” API call)
http://support.microsoft.com/support/kb/articles/Q186/5/89.ASP

“High Accuracy Rotation of Images,” in Computer Vision, Graphics and Image Processing, Vol. 54, No. 4, July 1992, pp. 340-344.

One-pass and multipass rotation, Section 8.5
High Performance Computer Imaging.

2-pass and 3-pass rotations
Practical Handbook on Image Processing for Scientific Applications  
p. 107

comp.graphics.algorithms FAQ, Section 3.01, www.exaflop.org/docs/cgafaq

In Windows NT the plgblt API call can be used for bitmap rotation if the RC_BITBLT is supported by a device.

See efg’s RotateScanlineRotatePixels and FlipReverseRotate Lab Reports.

Scaling Bitmap Scaling
www.ddj.com/ftp/1997/1997.04/asc.zip/2ddda.asc

Section 8.4, High Performance Computer ImagingImage Scaling

Segmentation Digital Image Processing:  Principles and Applications, pp. 124-152

Image Segmentation and Mathematical Morphology
http://cmm.ensmp.fr/~beucher/wtshed.html

Image Sequence Segmentation
www.uwm.edu/~gjb/thesis.html

Many image-analysis tasks must first separate the image into clearly defined regions. Lee’s algorithm performs such a separation and presents the results in a fashion amenable to further study. Additional resources include aa798.txt (listings) and aa798.zip (source code).   July 1998, Dr. Dobb’s Journal. www.ddj.com/articles/1998/9807/9807toc.htm

Skin Cancer Segmentation program
www.cs.wright.edu/people/faculty/agoshtas/skinseg.html

Efficiently Computing a Good Segmentation
www.cs.cornell.edu/Vision/segmentation

Understanding Image Segmentation Basics
Vision Systems Design, Sept. 98; Oct. 98, pp. 20-22

Understanding Region-Based Segmentation
Vision Systems Design, Nov. 98, pp. 21-23

Understanding Oversegmentation and Region Merging
Vision Systems Design, Dec. 98, pp. 21-23

Understanding Undersegmentation and Region Splitting
Vision Systems Design, Feb. 99, pp. 16-19

Understanding Edge- and Line-Based Segmentation
Vision Systems Design, Mar. 99, pp. 27-32

Understanding other edge- and line-based segmentation techniques 
Vision Systems Design
, Apr. 99

Segmentation
http://axon.physik.uni-bremen.de/research/segmentation

Color Image Segmentation (with C++ code)
www.caip.rutgers.edu/~comanici/segm_images.html

Unsupervised Segmentation
http://www-sigproc.eng.cam.ac.uk/~sab

Chapter 6, Segmentation and Thresholding, pp. 371-430
The Image Processing Handbook

Chapter 7, Image Segmentation, pp. 413-482
Digital Image Processing

Chapter 15, Segmentation, pp. 474-484
Practical Handbook on Image Processing for Scientific Applications

Also see Segmentation on efg’s Color Reference Library page

Shape from Shading A method for determining the shape of a surface from its image
www.psrw.com/image/ShapeFromShading/shape.html
Sharpness see links under MTF
Skeletonization Digital Image Processing:  Principles and Applications, pp. 137-139

The Scale Space Skeletonization Page
http://cyvision.if.sc.usp.br/msskeletons

Hilditch’s Algorithm for Skeletonization
http://jeff.cs.mcgill.ca/~godfried/teaching/projects97/azar/skeleton.html#algorithm

Skeletonization in 2D, 3D and 4D images
www.ph.tn.tudelft.nl/~pieter/clop.html

Comparison of Skeletonization Methods
www.cs.wisc.edu/~cs766-1/spring99/hw/hw1-result.html

Skew Skew Correction
http://ipml.ee.duth.gr/~papamark/free_software2.htm
Snakes Gradient Vector Flow (GVF) snake.  Active contours — or snakes — are computer-generated curves that move within images to find object boundaries.
http://iacl.ece.jhu.edu/projects/gvf

GVF snake for *nix boxes source code
ftp://ftp.cs.wisc.edu/computer-vision/gsnake.tar

Snakes
www.tu-dresden.de/fghgipg/gen3.html

Active Snakes
www.crl.research.digital.com/projects/vision/snakes/snakes.html

Active Contours (Snakes)
www.persci.com/~schulze/snakes

Active contour models of shape or “snakes”
www.cogs.susx.ac.uk/users/davidy/teachvision/vision7.html

Snakes:  Active Contour Models
www.ee.oulu.fi/~jth/monitor/snakes.html

GSNAKE API
www.cs.wisc.edu/computer-vision/projects/gsnake.html

Special Effects Beyond Photography — The Digital Darkroom (Out of Print, 1995)
Publisher Web Site:  http://www.phptr.com/ptrbooks/ptr_0130744107.html
Spectroscopy USGS Imaging spectroscopy analysis: identify and map materials through spectroscopic remote sensing, on the earth and throughout the solar system.
http://speclab.cr.usgs.gov

About Imaging Spectroscopyhttp://speclab.cr.usgs.gov/aboutimsp.html

Multispectral Scanner Landsat Data
http://edcwww.cr.usgs.gov/glis/hyper/guide/landsat

Steganography The information hiding homepage – digital watermarking & steganography
www.cl.cam.ac.uk/%7Efapp2/steganography

Steganography
www.jjtc.com/stegdoc

Steganography & Digital Watermarking
www.jjtc.com/Steganography

Steganography/Watermarking Information
www.tml.hut.fi/~helger/crypto/link/steganography

Stenography and Digital Watermarks
www.infosyssec.org/infosyssec/stendig1.htm

Also see watermarking

Stereoscopic Vision Stereo pair displays of surface range images
http://members.AOL.com/DrJohnRuss/stereo.pdf

Single-Image Stereograms, July 1995, Dr. Dobb’s Journal.
www.ddj.com/articles/1995/9507/9507toc.htm

Stereoscopic, or true 3-D, images take into account depth information that’s lost when conventional 3-D images are projected onto a PC’s 2-D screen. In addition to discussing hardware and software stereoscopic requirements, our authors present and implement algorithms for generating left- and right-eye views fundamental to stereoscopic viewing.   April 1994, Dr. Dobb’s Journal. www.ddj.com/articles/1993/9304/9304toc.htm

Stereoscopic Vision and Perspective Projection
www.cogs.susx.ac.uk/users/davidy/teachvision/vision5.html

Stereo Vision
http://axon.physik.uni-bremen.de/research/stereo

Texture Fast Marble Texture Algorithm
www.cubic.org/~submissive/sourcerer/marble.htm

pp. 278-282, The Image Processing Handbook

Chapter 4, Texture, pp 150-175
Algorithms for Image Processing and Computer Vision

Chapter 14, Scale and Texture, pp. 441-469
Practical Handbook on Image Processing for Scientific Applications

Thermal Imaging “Thermal Imaging Is Gaining Acceptance as a Diagnostic Tool”
Biophotonics International, Nov/Dec 1998, pp. 48-53
Thresholding Chapter 6, Segmentation and Thresholding, pp. 371-430
The Image Processing Handbook

Section 7.3, Thresholding, pp. 443-457
Digital Image Processing

Transformation Image Transformations (Chapter 7)
Frequency Domain; Discrete Fourier Transform; FFT; Discrete Cosine Transform
Simplified Approach to Image Processing
Transformation, Affine Affine transformation software
http://bigwww.epfl.ch/thevenaz/affine/index.html

Affine texture mapping is fundamental to many forms of 3D rendering, including light interpolation and other sampling type operations. Additional resources include tmapper.txt (listings) and tmapsrc.zip(source code).  Dr. Dobb’s Journal, July 1998.   www.ddj.com/articles/1998/9807/9807toc.htm

Section 8.6, High Performance Computer ImagingAffine transformation

Curvature Scale Space image under affine transforms
www.ee.surrey.ac.uk/Research/VSSP/imagedb/affine.html

Transformation, Special effects Section 8.8, High Performance Computer ImagingSpecial-effects filters.
Shows radial transformation

Spatial Transformations (affine, perspective, bilinear, meshwarp)
Simplified Approach to Image Processing

Transparency Sean Dockery’s UseNet Post about Transparency including links to Microsoft Technical Reports
Triangle Intersection Triangle Intersection Tests
Dr. Dobb’s Journal, August 2000
Unsharp Masking “Real” Digital Unsharp Masking:  A Digital Equivalent to a Film Technique
www.astropix.com/HTML/J_DIGIT/USM.HTM
Warping Digital Image Processing:  Principles and Applications, pp. 115-117

Fields-Based Warping, pp. 234-243
Simplified Approach to Image Processing

Watermarking nformation Hiding Techniques for Steganography and Digital Watermarking
by Fabien Petitcolas and Stefan Katzenbeisser  US  UK
Author’s Web Site

The information hiding homepage – digital watermarking & steganography
www.cl.cam.ac.uk/%7Efapp2/steganography

Digital Watermarking World
www.watermarkingworld.org

Invisible Watermarking:  Protecting Digital Pictures
www.kodak.com/US/en/corp/researchDevelopment/technologyFeatures/digitalWatermarking.shtml

References on Multimedia Watermarking and Data Hiding Research & Technology
www.nt.e-technik.uni-erlangen.de/~hartung/watermarkinglinks.html
www.lnt.de/~hartung/watermarkinglinks.html

Watermarking of Video and Multimedia Data
www.lnt.de/~hartung/watermarking.html

Digital watermarking: perfecting the art of security
www.spie.org/web/oer/november/nov99/cover1.html

Digital Watermarking
www.acm.org/~hlb/publications/dig_wtr/dig_watr.html

Digital Watermarking: a solution to Electronic Copyright Management Systems Requirements
www.medicif.org/dig_library/StateArt/Ipr/Piva/piva_doc.html

Watermarking of Digital Images
www.csee.usf.edu/~smohanty/personal/project.html

Also see Steganography

Watershed Transformation Watershet Edge Detection, pp. 148-153
Digital Image Processing:  Principles and Applications

Several papers on Watershed algorithms
www.rug.nl/hpc/people/arnold

SDC Morphology Toolbox for MATLAB:   includes fast queue-based algorithms for distance transform, watershed, reconstruction, labeling, area-opening, etc. www.mmorph.com

Watershed Transform
www.geocities.com/kimdesok/#Watershed

Image segmentation problems in mathematical morphology
http://cmm.ensmp.fr/~beucher/wtshed.html

Zoom See ResamplingImage Registration
Automated Image Registration http://bishopw.loni.ucla.edu/AIR5
Automatic Panoramic Image Merging www.sgi.com/grafica/merge/index.html
Automatic Registration of SAR Images and Digitized Maps www.engr.mun.ca/~charlesr/summary.html
Bibliography Michael Jacobs’ UseNet Post with many references to journal articles
CISG Registration Toolkit www-ipg.umds.ac.uk/cisg/vtk-software
Cross-Correlation Fast Normalized Cross-Correlation
www.idiom.com/~zilla/Papers/nvisionInterface/nip.html
Elastic Image Registration www.loni.ucla.edu/~thompson/ElasChpt.html

Elastic Imaging Registration and Pathology Detection
http://www.loni.ucla.edu/~thompson/PDF/no_pics_ElasChpt.pdf

FFT Reddy, B. Srinivasa and B. N. Chatterji, “An FFT-Based Technique for Translation, Rotation, and Scale-Invariant Image Registration,” IEEE Trans. Image Processing vol. 5, no. 8 (1996 August) pp. 1266-1271.
FLIRT FLIRT is software for linear image registration, which is part of FSL
www.fmrib.ox.ac.uk/fsl
Image Matching and Registration www.dra.hmg.gb/cis5/ipi13b.html
Image Matching by Maximisation of Mutual Information www.robots.ox.ac.uk:5000/~seb/matching/mutual_info.html
Image Registration Special Issue of Pattern Recognition on Image Registration
www.cs.wright.edu/people/faculty/agoshtas/ImgReg.html
Image Registration and Mosaicking www.prettyview.com/mtch/mtch.shtml
Image Registration Technology KT-Tech, Inc.
www.kttech.com/top/reg.htm
Matching Algorithms for Medical Image Processing http://mbi.dkfz-heidelberg.de/mbi/research/matching.html
Medical Image Registration New Book (June 2001)  US  UK  DE  FR
Medical Image Registration using Geometric Hashing www.computer.org/cse/cs1997/c4029abs.htm
Multimodality Medical Image Registration www.seas.gwu.edu/seas/institutes/medimage/registration
Raw Image Registration NewSips System
www.vilspa.esa.es/iue/IUEFA/manual/chap00/node26.html

Cross-Corr
http://archive.stsci.edu/iue/manual/newsips/node36.html

Retrospective Registration Evaluation Project www.vuse.vanderbilt.edu/~jayw
Role of Image Registration in Brain Mapping www.loni.ucla.edu/~thompson/IVCJ_99.html
www.loni.ucla.edu/~thompson/PDF/IVCJ_99.pdf
Survey of image registration techniques Abstract from ACM Computing Surveys, Vol 24., No. 4, Dec 92, pp. 325-376
Survey of Medical Image Registration J.B.A. Maintz, Medical Image Analysis, 2(1):1-36, 1998.
www.cs.uu.nl/people/twan/personal/media97.pdf

An overview of medical image registration methods. In Symposium of the Belgian hospital physicists association (SBPH/BVZF), volume 12, pages V:1-22, 1996/1997.
www.cs.uu.nl/people/twan/personal/brussel_bvz.pdf

Author’s Bibliographical Information:    www.cs.uu.nl/people/twan/personal/list.html

3D Image Registration of CT Angiography www.ee.princeton.edu/~mingy/cta
3D Image Registration for Sculptors www.sculptor.org/register.htm

Mathematical Techniques
Also see Fourier Analysis and Wavelets Sections of efg’s Mathematics Page

DCTs Implementing Fast DCTs (Discrete Cosine Transforms)
Dr. Dobb’s Journal, March 1999, pp. 115-119
Fast Hartley Transform Hartley Transform
www.treasure-troves.com/math/HartleyTransform.html

Note:  According to a letter to the editor in the July 1999 “Embedded Systems Programming” (p. 7) the Fast Hartley Transform is covered under U.S. Patent Number 4,646,256.  Use of this algorithm for noncommercial research must be negotiated with the Office of Technology Licensing at Stanford University.

Geometry Vision Geometry and Mathematics
www.dai.ed.ac.uk/CVonline/geom.htm

Section 2.5, Imaging Geometry, pp. 51-71
Digital Image Processing
, 2nd edition

Chapter 8, Geometry, pp. 263-286
Practical Handbook on Image Processing for Scientific Applications

Chapter 8, Image geometric operations
High Performance Computer Imaging

Image Quality IQM Approach:  Obtain Quality from Image Power Spectrum
www.mitre.org/technology/mtf/poster.pdf

Objective Image Quality Measure Derived from Digital Image Power Spectra
Norman B. Nill, Optical Engineering, April 1992, Vol. 31, No. 4, pp. 813-825
www.mitre.org/technology/mtf/opteng.pdf

Also see Modulation Transfer Function below

Image Transforms Chapter 3, pp. 81-159
Fourier Transform (3.1), Walsh Transform (3.5.1),
Hadamard Transform (3.5.2), Discrete Cosine Transform (3.5.3),
Haar Transform (3.5.4), Slant Transform (3.5.5), Hotelling Transform (3.6)
Digital Image Processing
, 2nd edition
Modulation Transfer Function Random Test Patterns To Evaluate MTF
www.precisionopticalimaging.com/notes/notes.asp

Understanding image sharpness part 1:  resolution and MTF curves in film and lenses. www.normankoren.com/Tutorials/MTF.html

Understanding image sharpness part 2:  resolution and MTF curves in scanners and sharpening
www.normankoren.com/Tutorials/MTF2.html

Understanding MTF Testing
www.edmundoptics.com/techsup/tsb/mtftest.cfm

How to interpret MTF Graphs
www.photozone.de/mtf.htm

Use of Sinusoidal Test Patterns for MTF Evaluation
www.sinepatterns.com/MTF/EngNotes.htm

Image Quality Evaluation:  Modulation Transfer Function
http://www.mitre.org/tech/mtf

What is a MTF Curve?
http://perso.club-internet.fr/legault/mtf.html

Moments Section 8.3.4, Moments, pp. 514-518
Digital Image Processing
Matrices Matrix Operations for Image Processing
www.sgi.com/grafica/matrix/index.html
Point Spread Functions The point-spread function (PSF) model of blurring
http://extreme.indiana.edu/~tveldhui/papers/MAScThesis/node10.html

Point Spread Function of Imaging System (diagram)
www.vislab.usyd.edu.au/CP3/Four5/node2.html

Point spread function of the human eye obtained by a dual double-pass method
www.iop.org/PEL/abstract/pa07001l2

Point and Line Spread Functions
www.yorku.ca/eye/psf.htm

ACIS/HRMA Point Spread Function
www.astro.psu.edu/xray/docs/cal_report/node150.html

Statistics Statistics and Image Processing
www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Statisti.html
White Balance White Balance Patents
www.frontiernet.net/~shyam/whitebalance.htm

 

Posted in Computer Vision, Computing Technology, Entertainment, Free Tools, Journals & Conferences, My Research Related, Research Menu | Tagged: , , , , , , , , , | 1 Comment »

Research Writing Up & Publishing

Posted by Hemprasad Y. Badgujar on February 5, 2015


Research Writing Up & Publishing

Research_papers
The Sense of Style: The Thinking Person’s Guide to Writing in the 21st Century
– Steven Pinker, Harvard University
Writing your thesis – Champion et al.
How to read a scientific paper.
Top Ten Tips for doing your PhD – only 10?
Advice on Research and writing
Writing tips – covering a wide range of issues, from abbreviations, to punctuation, to writing style.
Guide to Grammar and Writing by Charles Darling
How to have a bad career in Research/Academia by David A. Patterson.
How to Write a Master’s Thesis in Computer Science by William D. Shoaff
Writing and Presenting Your Thesis or Dissertation by S. Joseph Levine, Ph.D.
How To Write A Dissertation or Bedtime Reading For People Who Do Not Have Time To Sleep
List of links on being a graduate student
Notes On The PhD Degree by D. Comer.
On Being A Scientist: Responsible Conduct In Research by NATIONAL ACADEMY OF SCIENCES.
You and your research.
Library notes for Engineering Researchers.
PhD Thesis Structure and Content by Christopher Clack.
Discussion on Ph.D. thesis proposals in computing science by H. Lauer.
Tips for a PhD and here.
Guide for writing a funding proposal by J. Levine.
How to publish in top journals.
How to Write Publishable Papers and here is a list of journals (mostly non-IT).
Networking on the Network – A Guide to Professional Skills for PhD Students by Phil Agre.
PhD writing links
Your PHd Thesis: How to Plan, Draft, Revise and Edit Your Thesis – A book by Brewer et al.,

Posted in Documentations, Journals & Conferences, My Research Related, Research Menu | Tagged: , , , , , , , , , , , , , , | Leave a Comment »

Parallel Code: Maximizing your Performance Potential

Posted by Hemprasad Y. Badgujar on December 19, 2014


No matter what the purpose of your application is, one thing is certain. You want to get the most bang for your buck. You see research papers being published and presented making claims of tremendous speed increases by running algorithms on the GPU (e.g. NVIDIA Tesla), in a cluster, or on a hardware accelerator (such as the Xeon Phi or Cell BE). These architectures allow for massively parallel execution of code that, if done properly, can yield lofty performance gains.

Unlike most aspects of programming, the actual writing of the programs is (relatively) simple. Most hardware accelerators support (or are very similar to) C based programming languages. This makes hitting the ground running with parallel coding an actually doable task. While mastering the development of massively parallel code is an entirely different matter, with a basic understanding of the principles behind efficient, parallel code, one can obtain substantial performance increases compared to traditional programming and serial execution of the same algorithms.

In order to ensure that you’re getting the most bang for your buck in terms of performance increases, you need to be aware of the bottlenecks associated with coprocessor/GPU programming. Fortunately for you, I’m here to make this an easier task. By simply avoiding these programming “No-No’s” you can optimize the performance of your algorithm without having to spend hundreds of hours learning about every nook and cranny of the architecture of your choice. This series will discuss and demystify these performance-robbing bottlenecks, and provide simple ways to make these a non-factor in your application.

Parallel Thread Management – Topic #1

First and foremost, the most important thing with regard to parallel programming is the proper management of threads. Threads are the smallest sequence of programmed instructions that are able to be utilized by an operating system scheduler. Your application’s threads must be kept busy (not waiting) and non-divergent. Properly scheduling and directing threads is imperative to avoid wasting precious computing time.
Read the rest of this entry »

Posted in Computer Hardwares, Computer Languages, Computing Technology, GPU (CUDA), GPU Accelareted, My Research Related, PARALLEL, Research Menu | Tagged: | Leave a Comment »

Literature Review versus Literature Survey. What is the difference?

Posted by Hemprasad Y. Badgujar on November 3, 2014


Literature Survey: Is the process of analyzing, summarizing, organizing, and presenting novel conclusions from the results of technical review of large number of recently published scholarly articles. The results of the literature survey can contribute to the body of knowledge when peer-reviewed and published as survey articles

Literature Review: Is the process of technically and critically reviewing published papers to extract technical and scientific metadata from the presented contents. The metadata are usually used during literature survey to technically compare different but relevant works and draw conclusions on weaknesses and strengths of the works.

Second View: The second view over literature survey and review is that in survey, researchers usually utilize the author-provided contents available in the published works to qualitatively analyze and compare them with other related works. While in the former, you should not perform qualitative analysis. Rather it should be quantitative meaning that every research work under study should be implemented and benchmarked under certain criteria. The results of this benchmarking study can be used to compare them together and criticize or appreciate the works.

So basically you can look at current literature and find which approach is dominating in your field. Hope it helps. I try to revise it if I came a cross other points or useful comments here.

we can use the following definitions from CS journals.

  • According to the definition of survey paper provided by IEEE Communications Surveys & Tutorials journal (one of the best CS journals), “The term survey, as applied here, is defined to mean a survey of the literature. A survey article should provide a comprehensive review of developments in a selected area“.
  • In ACM Computing Survey (another prestigious CS journal), survey paper is described as “A paper that summarizes and organizes recent research results in a novel way that integrates and adds understanding to work in the field. A survey article emphasizes the classification of the existing literature, developing a perspective on the area, and evaluating trends.”
  • In Elsevier journal of Computer Science Review, you will see here4 that “Critical review of the relevant literature“ is required a component of every typical survey paper.

 

Posted in Computer Research, Documentations, Journals & Conferences, My Research Related, Placement, Project Related, Research Menu | Tagged: , , , , , , | Leave a Comment »

Computer Vision Databases

Posted by Hemprasad Y. Badgujar on October 15, 2014


Computer Vision Databases

Index by Topic

  1. Action Databases
  2. Biological/Medical
  3. Face Databases
  4. Fingerprints
  5. General Images
  6. General RGBD and depth datasets
  7. Gesture Databases
  8. Image, Video and Shape Database Retrieval
  9. Object Databases
  10. People, Pedestrian, Eye/Iris, Template Detection/Tracking Databases
  11. Segmentation
  12. Surveillance
  13. Textures
  14. General Videos
  15. Other Collection Pages
  16. Miscellaneous Topics

Action Databases

  1. An analyzed collation of various labeled video datasets for action recognition (Kevin Murphy)
  2. 50 Salads – fully annotated 4.5 hour dataset of RGB-D video + accelerometer data, capturing 25 people preparing two mixed salads each (Dundee University, Sebastian Stein)
  3. ASLAN Action similarity labeling challenge database (Orit Kliper-Gross)
  4. Berkeley MHAD: A Comprehensive Multimodal Human Action Database (Ferda Ofli)
  5. BEHAVE Interacting Person Video Data with markup (Scott Blunsden, Bob Fisher, Aroosha Laghaee)
  6. CVBASE06: annotated sports videos (Janez Pers)
  7. G3D – synchronised video, depth and skeleton data for 20 gaming actions captured with Microsoft Kinect (Victoria Bloom)
  8. Hollywood 3D – 650 3D action recognition in the wild videos, 14 action classes (Simon Hadfield)
  9. Human Actions and Scenes Dataset (Marcin Marszalek, Ivan Laptev, Cordelia Schmid)
  10. HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion (Brown University)
  11. i3DPost Multi-View Human Action Datasets (Hansung Kim)
  12. i-LIDS video event image dataset (Imagery library for intelligent detection systems) (Paul Hosner)
  13. INRIA Xmas Motion Acquisition Sequences (IXMAS) (INRIA)
  14. JPL First-Person Interaction dataset – 7 types of human activity videos taken from a first-person viewpoint (Michael S. Ryoo, JPL)
  15. KTH human action recognition database (KTH CVAP lab)
  16. LIRIS human activities dataset – 2 cameras, annotated, depth images (Christian Wolf, et al)
  17. MuHAVi – Multicamera Human Action Video Data (Hossein Ragheb)
  18. Oxford TV based human interactions (Oxford Visual Geometry Group)
  19. Rochester Activities of Daily Living Dataset (Ross Messing)
  20. SDHA Semantic Description of Human Activities 2010 contest – aerial views (Michael S. Ryoo, J. K. Aggarwal, Amit K. Roy-Chowdhury)
  21. SDHA Semantic Description of Human Activities 2010 contest – Human Interactions (Michael S. Ryoo, J. K. Aggarwal, Amit K. Roy-Chowdhury)
  22. TUM Kitchen Data Set of Everyday Manipulation Activities (Moritz Tenorth, Jan Bandouch)
  23. TV Human Interaction Dataset (Alonso Patron-Perez)
  24. Univ of Central Florida – Feature Films Action Dataset (Univ of Central Florida)
  25. Univ of Central Florida – YouTube Action Dataset (sports) (Univ of Central Florida)
  26. Univ of Central Florida – 50 Action Category Recognition in Realistic Videos (3 GB) (Kishore Reddy)
  27. UCF 101 action dataset 101 action classes, over 13k clips and 27 hours of video data (Univ of Central Florida)
  28. Univ of Central Florida – Sports Action Dataset (Univ of Central Florida)
  29. Univ of Central Florida – ARG Aerial camera, Rooftop camera and Ground camera (UCF Computer Vision Lab)
  30. UCR Videoweb Multi-camera Wide-Area Activities Dataset (Amit K. Roy-Chowdhury)
  31. Verona Social interaction dataset (Marco Cristani)
  32. Videoweb (multicamera) Activities Dataset (B. Bhanu, G. Denina, C. Ding, A. Ivers, A. Kamal, C. Ravishankar, A. Roy-Chowdhury, B. Varda)
  33. ViHASi: Virtual Human Action Silhouette Data (userID: VIHASI password: virtual$virtual) (Hossein Ragheb, Kingston University)
  34. WorkoutSU-10 Kinect dataset for exercise actions (Ceyhun Akgul)
  35. YouCook – 88 open-source YouTube cooking videos with annotations (Jason Corso)
  36. WVU Multi-view action recognition dataset (Univ. of West Virginia)

Biological/Medical

  1. Annotated Spine CT Database for Benchmarking of Vertebrae Localization, 125 patients, 242 scans (Ben Glockern)
  2. Computed Tomography Emphysema Database (Lauge Sorensen)
  3. Dermoscopy images (Eric Ehrsam)
  4. DIADEM: Digital Reconstruction of Axonal and Dendritic Morphology Competition (Allen Institute for Brain Science et al)
  5. DIARETDB1 – Standard Diabetic Retinopathy Database (Lappeenranta Univ of Technology)
  6. DRIVE: Digital Retinal Images for Vessel Extraction (Univ of Utrecht)
  7. MiniMammographic Database (Mammographic Image Analysis Society)
  8. MIT CBCL Automated Mouse Behavior Recognition datasets (Nicholas Edelman)
  9. Mouse Embryo Tracking Database – cell division event detection (Marcelo Cicconet, Kris Gunsalus)
  10. Retinal fundus images – Ground truth of vascular bifurcations and crossovers (Univ of Groningen)
  11. Spine and Cardiac data (Digital Imaging Group of London Ontario, Shuo Li)
  12. Univ of Central Florida – DDSM: Digital Database for Screening Mammography (Univ of Central Florida)
  13. VascuSynth – 120 3D vascular tree like structures with ground truth (Mengliu Zhao, Ghassan Hamarneh)
  14. York Cardiac MRI dataset (Alexander Andreopoulos)

Face Databases

  1. 3D Mask Attack Database (3DMAD) – 76500 frames of 17 persons using Kinect RGBD with eye positions (Sebastien Marcel)
  2. Audio-visual database for face and speaker recognition (Mobile Biometry MOBIO http://www.mobioproject.org/)
  3. BANCA face and voice database (Univ of Surrey)
  4. Binghampton Univ 3D static and dynamic facial expression database (Lijun Yin, Peter Gerhardstein and teammates)
  5. BioID face database (BioID group)
  6. Biwi 3D Audiovisual Corpus of Affective Communication – 1000 high quality, dynamic 3D scans of faces, recorded while pronouncing a set of English sentences.
  7. CMU Facial Expression Database (CMU/MIT)
  8. CMU/MIT Frontal Faces (CMU/MIT)
  9. CMU/MIT Frontal Faces (CMU/MIT)
  10. CMU Pose, Illumination, and Expression (PIE) Database (Simon Baker)
  11. CSSE Frontal intensity and range images of faces (Ajmal Mian)
  12. Face Recognition Grand Challenge datasets (FRVT – Face Recognition Vendor Test)
  13. FaceTracer Database – 15,000 faces (Neeraj Kumar, P. N. Belhumeur, and S. K. Nayar)
  14. FDDB: Face Detection Data set and Benchmark – studying unconstrained face detection (University of Massachusetts Computer Vision Laboratory)
  15. FG-Net Aging Database of faces at different ages (Face and Gesture Recognition Research Network)
  16. Facial Recognition Technology (FERET) Database (USA National Institute of Standards and Technology)
  17. Hannah and her sisters database – a dense audio-visual person-oriented ground-truth annotation of faces, speech segments, shot boundaries (Patrick Perez, Technicolor)
  18. Hong Kong Face Sketch Database
  19. Japanese Female Facial Expression (JAFFE) Database (Michael J. Lyons)
  20. LFW: Labeled Faces in the Wild – unconstrained face recognition.
  21. Manchester Annotated Talking Face Video Dataset (Timothy Cootes)
  22. MIT Collation of Face Databases (Ethan Meyers)
  23. MMI Facial Expression Database – 2900 videos and high-resolution still images of 75 subjects, annotated for FACS AUs.
  24. MORPH (Craniofacial Longitudinal Morphological Face Database) (University of North Carolina Wilmington)
  25. MIT CBCL Face Recognition Database (Center for Biological and Computational Learning)
  26. NIST mugshot identification database (USA National Institute of Standards and Technology)
  27. ORL face database: 40 people with 10 views (ATT Cambridge Labs)
  28. Oxford: faces, flowers, multi-view, buildings, object categories, motion segmentation, affine covariant regions, misc (Oxford Visual Geometry Group)
  29. PubFig: Public Figures Face Database (Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, and Shree K. Nayar)
  30. Re-labeled Faces in the Wild – original images, but aligned using “deep funneling” method. (University of Massachusetts, Amherst)
  31. SCface – Surveillance Cameras Face Database (Mislav Grgic, Kresimir Delac, Sonja Grgic, Bozidar Klimpak))
  32. Trondheim Kinect RGB-D Person Re-identification Dataset (Igor Barros Barbosa)
  33. UB KinFace Database – University of Buffalo kinship verification and recognition database
  34. XM2VTS Face video sequences (295): The extended M2VTS Database (XM2VTS) – (Surrey University)
  35. Yale Face Database – 11 expressions of 10 people (A. Georghaides)
  36. Yale Face Database B – 576 viewing conditions of 10 people (A. Georghaides)

Fingerprints

  1. FVC fingerpring verification competition 2002 dataset (University of Bologna)
  2. FVC fingerpring verification competition 2004 dataset (University of Bologna)
  3. FVC – a subset of FVC (Fingerprint Verification Competition) 2002 and 2004 fingerprint image databases, manually extracted minutiae data & associated documents (Umut Uludag)
  4. NIST fingerprint databases (USA National Institute of Standards and Technology)
  5. SPD2010 Fingerprint Singular Points Detection Competition (SPD 2010 committee)

General Images

  1. Aerial color image dataset (Swiss Federal Institute of Technology)
  2. AMOS: Archive of Many Outdoor Scenes (20+m) (Nathan Jacobs)
  3. Brown Univ Large Binary Image Database (Ben Kimia)
  4. Caltech-UCSD Birds-200-2011 (Catherine Wah)
  5. Columbia Multispectral Image Database (F. Yasuma, T. Mitsunaga, D. Iso, and S.K. Nayar)
  6. HIPR2 Image Catalogue of different types of images (Bob Fisher et al)
  7. Hyperspectral images of natural scenes – 2002 (David H. Foster)
  8. Hyperspectral images of natural scenes – 2004 (David H. Foster)
  9. ImageNet Linguistically organised (WordNet) Hierarchical Image Database – 10E7 images, 15K categories (Li Fei-Fei, Jia Deng, Hao Su, Kai Li)
  10. ImageNet Large Scale Visual Recognition Challenge (Alex Berg, Jia Deng, Fei-Fei Li)
  11. OTCBVS Thermal Imagery Benchmark Dataset Collection (Ohio State Team)
  12. McGill Calibrated Colour Image Database (Adriana Olmos and Fred Kingdom)
  13. Tiny Images Dataset 79 million 32×32 color images (Fergus, Torralba, Freeman)

General RGBD Datasets

  1. Cornell-RGBD-Dataset – Office Scenes (Hema Koppula)
  2. NYU Depth Dataset V2 – Indoor Segmentation and Support Inference from RGBD Images
  3. Oakland 3-D Point Cloud Dataset (Nicolas Vandapel)
  4. Washington RGB-D Object Dataset – 300 common household objects adn 14 scenes. (University of Washington and Intel Labs Seattle)

Gesture Databases

  1. FG-Net Aging Database of faces at different ages (Face and Gesture Recognition Research Network)
  2. Hand gesture and marine silhouettes (Euripides G.M. Petrakis)
  3. IDIAP Hand pose/gesture datasets (Sebastien Marcel)
  4. Sheffield gesture database – 2160 RGBD hand gesture sequences, 6 subjects, 10 gestures, 3 postures, 3 backgrounds, 2 illuminations (Ling Shao)

Image, Video and Shape Database Retrieval

  1. Brown Univ 25/99/216 Shape Databases (Ben Kimia)
  2. IAPR TC-12 Image Benchmark (Michael Grubinger)
  3. IAPR-TC12 Segmented and annotated image benchmark (SAIAPR TC-12): (Hugo Jair Escalante)
  4. ImageCLEF 2010 Concept Detection and Annotation Task (Stefanie Nowak)
  5. ImageCLEF 2011 Concept Detection and Annotation Task – multi-label classification challenge in Flickr photos
  6. CLEF-IP 2011 evaluation on patent images
  7. McGill 3D Shape Benchmark (Siddiqi, Zhang, Macrini, Shokoufandeh, Bouix, Dickinson)
  8. NIST SHREC 2010 – Shape Retrieval Contest of Non-rigid 3D Models (USA National Institute of Standards and Technology)
  9. NIST SHREC – other NIST retrieval contest databases and links (USA National Institute of Standards and Technology)
  10. NIST TREC Video Retrieval Evaluation Database (USA National Institute of Standards and Technology)
  11. Princeton Shape Benchmark (Princeton Shape Retrieval and Analysis Group)
  12. Queensland cross media dataset – millions of images and text documents for “cross-media” retrieval (Yi Yang)
  13. TOSCA 3D shape database (Bronstein, Bronstein, Kimmel)

Object Databases

  1. 2.5D/3D Datasets of various objects and scenes (Ajmal Mian)
  2. Amsterdam Library of Object Images (ALOI): 100K views of 1K objects (University of Amsterdam/Intelligent Sensory Information Systems)
  3. Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild – 12 class, 3000+ images each with 3D annotations (Yu Xiang, Roozbeh Mottaghi, Silvio Savarese)
  4. Caltech 101 (now 256) category object recognition database (Li Fei-Fei, Marco Andreeto, Marc’Aurelio Ranzato)
  5. Columbia COIL-100 3D object multiple views (Columbia University)
  6. Densely sampled object views: 2500 views of 2 objects, eg for view-based recognition and modeling (Gabriele Peters, Universiteit Dortmund)
  7. German Traffic Sign Detection Benchmark (Ruhr-Universitat Bochum)
  8. GRAZ-02 Database (Bikes, cars, people) (A. Pinz)
  9. Linkoping 3D Object Pose Estimation Database (Fredrik Viksten and Per-Erik Forssen)
  10. Microsoft Object Class Recognition image databases (Antonio Criminisi, Pushmeet Kohli, Tom Minka, Carsten Rother, Toby Sharp, Jamie Shotton, John Winn)
  11. Microsoft salient object databases (labeled by bounding boxes) (Liu, Sun Zheng, Tang, Shum)
  12. MIT CBCL Car Data (Center for Biological and Computational Learning)
  13. MIT CBCL StreetScenes Challenge Framework: (Stan Bileschi)
  14. NEC Toy animal object recognition or categorization database (Hossein Mobahi)
  15. NORB 50 toy image database (NYU)
  16. PASCAL Image Database (motorbikes, cars, cows) (PASCAL Consortium)
  17. PASCAL 2007 Challange Image Database (motorbikes, cars, cows) (PASCAL Consortium)
  18. PASCAL 2008 Challange Image Database (PASCAL Consortium)
  19. PASCAL 2009 Challange Image Database (PASCAL Consortium)
  20. PASCAL 2010 Challange Image Database (PASCAL Consortium)
  21. PASCAL 2011 Challange Image Database (PASCAL Consortium)
  22. PASCAL 2012 Challange Image Database Category classification, detection, and segmentation, and still-image action classification (PASCAL Consortium)
  23. UIUC Car Image Database (UIUC)
  24. UIUC Dataset of 3D object categories (S. Savarese and L. Fei-Fei)
  25. Venezia 3D object-in-clutter recognition and segmentation (Emanuele Rodola)

People, Pedestrian, Eye/Iris, Template Detection/Tracking Databases

  1. 3D KINECT Gender Walking data base (L. Igual, A. Lapedriza, R. Borràs from UB, CVC and UOC, Spain)
  2. Caltech Pedestrian Dataset (P. Dollar, C. Wojek, B. Schiele and P. Perona)
  3. CASIA gait database (Chinese Academy of Sciences)
  4. CASIA-IrisV3 (Chinese Academy of Sciences, T. N. Tan, Z. Sun)
  5. CAVIAR project video sequences with tracking and behavior ground truth (CAVIAR team/Edinburgh University – EC project IST-2001-37540)
  6. Daimler Pedestrian Detection Benchmark 21790 images with 56492 pedestrians plus empty scenes (M. Enzweiler, D. M. Gavrila)
  7. Driver Monitoring Video Dataset (RobeSafe + Jesus Nuevo-Chiquero)
  8. Edinburgh overhead camera person tracking dataset (Bob Fisher, Bashia Majecka, Gurkirt Singh, Rowland Sillito)
  9. Eyetracking database summary (Stefan Winkler)
  10. HAT database of 27 human attributes (Gaurav Sharma, Frederic Jurie)
  11. INRIA Person Dataset (Navneet Dalal)
  12. ISMAR09 ground truth video dataset for template-based (i.e. planar) tracking algorithms (Sebastian Lieberknecht)
  13. MIT CBCL Pedestrian Data (Center for Biological and Computational Learning)
  14. MIT eye tracking database (1003 images) (Judd et al)
  15. Modena and Reggio Emilia first person head motion videos (Univ of Modena and Reggio Emilia)
  16. Notre Dame Iris Image Dataset (Patrick J. Flynn)
  17. PETS 2009 Crowd Challange dataset (Reading University & James Ferryman)
  18. PETS: Performance Evaluation of Tracking and Surveillance (Reading University & James Ferryman)
  19. PETS Winter 2009 workshop data (Reading University & James Ferryman)
  20. Pixel-based change detection benchmark dataset (Goyette et al)
  21. Pointing’04 ICPR Workshop Head Pose Image Database
  22. Transient Biometrics Nails Dataset V01 (Igor Barros Barbosa)
  23. UBIRIS: Noisy Visible Wavelength Iris Image Databases (University of Beira)
  24. Univ of Central Florida – Crowd Dataset (Saad Ali)
  25. Univ of Central Florida – Crowd Flow Segmentation datasets (Saad Ali)
  26. UTIRIS cross-spectral iris image databank (Mahdi Hosseini)
  27. York Univ Eye Tracking Dataset (120 images) (Neil Bruce)

Segmentation

  1. Alpert et al. Segmentation evaluation database (Sharon Alpert, Meirav Galun, Ronen Basri, Achi Brandt)
  2. Berkeley Segmentation Dataset and Benchmark (David Martin and Charless Fowlkes)
  3. GrabCut Image database (C. Rother, V. Kolmogorov, A. Blake, M. Brown)
  4. LabelMe images database and online annotation tool (Bryan Russell, Antonio Torralba, Kevin Murphy, William Freeman)

Surveillance

  1. AVSS07: Advanced Video and Signal based Surveillance 2007 datasets (Andrea Cavallaro)
  2. ETISEO Video Surveillance Download Datasets (INRIA Orion Team and others)
  3. Heriot Watt Summary of datasets for human tracking and surveillance (Zsolt Husz)
  4. Openvisor – Video surveillance Online Repository (Univ of Modena and Reggio Emilia)
  5. SPEVI: Surveillance Performance EValuation Initiative (Queen Mary University London)
  6. Udine Trajectory-based anomalous event detection dataset – synthetic trajectory datasets with outliers (Univ of Udine Artificial Vision and Real Time Systems Laboratory)

Textures

  1. Color texture images by category (textures.forrest.cz)
  2. Columbia-Utrecht Reflectance and Texture Database (Columbia & Utrecht Universities)
  3. DynTex: Dynamic texture database (Renaud Piteri, Mark Huiskes and Sandor Fazekas)
  4. Oulu Texture Database (Oulu University)
  5. Prague Texture Segmentation Data Generator and Benchmark (Mikes, Haindl)
  6. Uppsala texture dataset of surfaces and materials – fabrics, grains, etc.
  7. Vision Texture (MIT Media Lab)

General Videos

  1. Large scale YouTube video dataset – 156,823 videos (2,907,447 keyframes) crawled from YouTube videos (Yi Yang)

Other Collections

  1. CANTATA Video and Image Database Index site (Multitel)
  2. Computer Vision Homepage list of test image databases (Carnegie Mellon Univ)
  3. ETHZ various, including 3D head pose, shape classes, pedestrians, pedestrians, buildings (ETH Zurich, Computer Vision Lab)
  4. Leibe’s Collection of people/vehicle/object databases (Bastian Leibe)
  5. Lotus Hill Image Database Collection with Ground Truth (Sealeen Ren, Benjamin Yao, Michael Yang)
  6. Oxford Misc, including Buffy, Flowers, TV characters, Buildings, etc (Oxford Visual geometry Group)
  7. PEIPA Image Database Summary (Pilot European Image Processing Archive)
  8. Univ of Bern databases on handwriting, online documents, string edit and graph matching (Univ of Bern, Computer Vision and Artificial Intelligence)
  9. USC Annotated Computer Vision Bibliography database publication summary (Keith Price)
  10. USC-SIPI image databases: texture, aerial, favorites (eg. Lena) (USC Signal and Image Processing Institute)

Miscellaneous

  1. 3D mesh watermarking benchmark dataset (Guillaume Lavoue)
  2. Active Appearance Models datasets (Mikkel B. Stegmann)
  3. Aircraft tracking (Ajmal Mian)
  4. Cambridge Motion-based Segmentation and Recognition Dataset (Brostow, Shotton, Fauqueur, Cipolla)
  5. Catadioptric camera calibration images (Yalin Bastanlar)
  6. Chars74K dataset – 74 English and Kannada characters (Teo de Campos – t.decampos@surrey.ac.uk)
  7. COLD (COsy Localization Database) – place localization (Ullah, Pronobis, Caputo, Luo, and Jensfelt)
  8. Columbia Camera Response Functions: Database (DoRF) and Model (EMOR) (M.D. Grossberg and S.K. Nayar)
  9. Columbia Database of Contaminants’ Patterns and Scattering Parameters (Jinwei Gu, Ravi Ramamoorthi, Peter Belhumeur, Shree Nayar)
  10. Dense outdoor correspondence ground truth datasets, for optical flow and local keypoint evaluation (Christoph Strecha)
  11. DTU controlled motion and lighting image dataset (135K images) (Henrik Aanaes)
  12. EISATS: .enpeda.. Image Sequence Analysis Test Site (Auckland University Multimedia Imaging Group)
  13. FlickrLogos-32 – 8240 images of 32 product logos (Stefan Romberg)
  14. Flowchart images (Allan Hanbury)
  15. Geometric Context – scene interpretation images (Derek Hoiem)
  16. Image/video quality assessment database summary (Stefan Winkler)
  17. INRIA feature detector evaluation sequences (Krystian Mikolajczyk)
  18. INRIA’s PERCEPTION’s database of images and videos gathered with several synchronized and calibrated cameras (INRIA Rhone-Alpes)
  19. INRIA’s Synchronized and calibrated binocular/binaural data sets with head movements (INRIA Rhone-Alpes)
  20. KITTI dataset for stereo, optical flow and visual odometry (Geiger, Lenz, Urtasun)
  21. Large scale 3D point cloud data from terrestrial LiDAR scanning (Andreas Nuechter)
  22. Linkoping Rolling Shutter Rectification Dataset (Per-Erik Forssen and Erik Ringaby)
  23. Middlebury College stereo vision research datasets (Daniel Scharstein and Richard Szeliski)
  24. MPI-Sintel optical flow evaluation dataset (Michael Black)
  25. Multiview stereo images with laser based groundtruth (ESAT-PSI/VISICS,FGAN-FOM,EPFL/IC/ISIM/CVLab)
  26. The Cancer Imaging Archive (National Cancer Institute)
  27. NCI Cancer Image Archive – prostate images (National Cancer Institute)
  28. NIST 3D Interest Point Detection (Helin Dutagaci, Afzal Godil)
  29. NRCS natural resource/agricultural image database (USDA Natural Resources Conservation Service)
  30. Occlusion detection test data (Andrew Stein)
  31. The Open Video Project (Gary Marchionini, Barbara M. Wildemuth, Gary Geisler, Yaxiao Song)
  32. Outdoor Ground Truth Evaluation Dataset for Sensor-Aided Visual Handheld Camera Localization (Daniel Kurz, metaio)
  33. Pics ‘n’ Trails – Dataset of Continuously archived GPS and digital photos (Gamhewage Chaminda de Silva)
  34. PRINTART: Artistic images of prints of well known paintings, including detail annotations. A benchmark for automatic annotation and retrieval tasks with this database was published at ECCV. (Nuno Miguel Pinho da Silva)
  35. RAWSEEDS SLAM benchmark datasets (Rawseeds Project)
  36. Robotic 3D Scan Repository – 3D point clouds from robotic experiments of scenes (Osnabruck and Jacobs Universities)
  37. ROMA (ROad MArkings) : Image database for the evaluation of road markings extraction algorithms (Jean-Philippe Tarel, et al)
  38. Stuttgart Range Image Database – 66 views of 45 objects
  39. UCL Ground Truth Optical Flow Dataset (Oisin Mac Aodha)
  40. Univ of Genoa Datasets for disparity and optic flow evaluation (Manuela Chessa)
  41. Validation and Verification of Neural Network Systems (Francesco Vivarelli)
  42. VSD: Technicolor Violent Scenes Dataset – a collection of ground-truth files based on the extraction of violent events in movies
  43. WILD: Weather and Illumunation Database (S. Narasimhan, C. Wang. S. Nayar, D. Stolyarov, K. Garg, Y. Schechner, H. Peri)

Posted in Computer Vision, OpenCV, Project Related, Research Menu | Tagged: , , , , , | Leave a Comment »

Learn English quickly

Posted by Hemprasad Y. Badgujar on August 2, 2014


Reading, listening and speaking are the most important aspects of any language. The same applies to English language. I think this article will be definitely useful for people who are more passionate about learning English quickly.

EnglishTips to speak fluent English

 

  • Read and listen

We are so fluent in our mother tongue only because we read and listen to the same language all around us. Instead of trying to converse in English at the earlier stage it is better to read English novels and then listen to English albums.  Watch English movies preferably with subtitles.  This will increase your listening capacity as well as your vocabulary. Record your own voice and listen to it. This will help you to evaluate yourself.

 

  • Improving your Vocabulary

Carry a pocket dictionary always with you. When you hear a new word then find out its meaning and antonyms.  Learn few common idioms and phrases.  Use the words which you learnt in your conversations.

  • Motivation is the half work

 

You should have a strong passion for learning English.  Dedication is the key to success. So dedicate your time as much as you can.

 

  • Be confident

“To err is human” so don’t feel to speak English. Learn the pronunciation of the words clearly then practice it. Encourage people around you to correct your mistakes. Try to find a partner who is passionate like you to learn English quickly.  Work together this will help a lot more.

 

  • Think in English

Instead of thinking in your mother tongue then translating it in to English is not a good way to improve English.  So try to think in English.

  • Stop studying grammar

Many researches prove that studying grammar alone is an inefficient way to learn English quickly.  Put away your grammar books. Grammar rules teach you to think in English.  There should be a degree of naturalness while speaking without thinking.

 

  • Study correct materials

Read good English magazines and listen to audio articles.  “Practice makes a man perfect”. So if you practice with some material which is not correct then you will be used to speak incorrectly.  So you use the materials which are used by most people.

 

  • Online chat

The easy thing for people who don’t have a chance to speak is to use online chat since because we have to think and respond quickly.

These are my suggestions that will help you achieve your goal of learning English fluently.

Posted in Computer Languages, Computer Research, Research Menu | Tagged: , , , , | Leave a Comment »

What’s New In Microsoft PowerPoint 2013 ?

Posted by Hemprasad Y. Badgujar on July 9, 2014


Revamped Landing Page

The landing page of PowerPoint 2013 has received the much needed facelift. The landing page of the previous version, Microsoft Office 2010, looked very bland and even confusing to some users. In the newer version, the landing page has been revamped to provide users with quick access to locally available templates, as well as the online database. The online templates are divided into several categories such as Business, Industry, Small Business, Presentation, Orientation, Design Sets, 4:3, Media, Nature, Marketing etc. While new presentations can be created from the main window, the left sidebar shows all the recently accessed presentations.

 

Color Themes For Templates

The templates can be used with different color themes. For instance, if the theme comes with a light color scheme, and you want to use darker colors, just click the template and all the available color schemes will be displayed. You can select the required one to use in your presentation. Just like the previous versions, you can also manually change the color and style of elements in a template.

 

Enhanced Presenter View

The Presenter View in PowerPoint 2013 displays the Active slide on the left side, the Next slide at the top right, while the Notes for the current slide are displayed in the bottom right corner. A timer appears above the preview of the current slide, and extra controls are available at the top and bottom of the Presenter View window.

Even though, Presenter View was also available in the previous versions of Microsoft PowerPoint, it was not activated by default. Users had to navigate to the Slide Show tab, and enable Presenter View in order to display it on secondary display screen. For this reason, a lot of people were not aware of its existence in the previous PowerPoint versions. Microsoft seemed to realize this in the latest release, and has enabled it by default. Now, whenever you run the slide show, the Presenter View will be displayed, if there are multiple display devices connected to the computer. Some changes have also been made to the console. Now you have an extra Laser Pointer Pen Tool, option to zoom parts of a slide, see all slides at a time, and ability to switch Slide show and Presenter Views between the connected display monitors.

 

Account Management

The Account Management window allows you to connect to your SkyDrive account, and add services to use with PowerPoint. Sign in to your Microsoft Account, and it will automatically connect to your SkyDrive account. You can use the same account to sign in to Microsoft Office 2013 on different devices. This way, all your saved documents will be synced to the cloud and will be available for viewing and editing from any device. This eliminates the need to carry your documents in removable storage drives. Using the SkyDrive account, you can easily share your presentations and invite others to collaborate on required presentation projects.

 

Share Documents To View & Edit In The Browser

The Share option offers a number of ways to share the document with others. You can Invite people by specifying their Email addresses, Send them a link to View and Edit the document, Post the document to Social networks, Email it to others as an attachment (PPTX), as a URL, as PDF, as XPS, or as internet Fax,Present it Online so that others can check out your presentation from their browsers, and Publish Slides to any Library or a SharePoint site. The person on the receiving end does not need to have Microsoft Office installed on his/her system in order to view or edit the document. If they have a Windows Live ID, everything can be performed from inside the browser.

 

 

Widescreen & Fullscreen Support

PowerPoint 2013 offers a slew of Widescreen templates and themes. The previous version also allowed you to switch to widescreen mode, however, you had to manually change the aspect ratio of the slide, which also changed the size of the slide elements. The new version of PowerPoint has built in support for Widescreen monitors. Moreover, there is also a new full screen mode available for editing. It allows you to view your slides, and edit them while consuming the available screen space. The Ribbon, containing all the editing options, can be activated and deactivated from a conveniently placed button at the top right corner.

 

UI Changes & Pane View

There are various UI related changes in PowerPoint 2013. First of all, everything feels smoother, from the movement of the cursor when you type, to the way animations appear in your presentation. Microsoft has also tried to improve the look and feel of the interface. There are now buttons available on the main interface to switch to the aforementioned Fullscreen View, and to access Notes and Comments.

Another welcome change to the UI is that a lot of options, which used to appear in separate dialog boxes, are now accessible through panes, appearing on the right side. For instance, in PowerPoint 2010, if you right-click a slide and select Format Background, a separate dialog box opens up. You can make changes to a slide, but the dialog box covers the slide, and you have to move it manually in order to view all the slide elements. Moreover, when you select Format Background option, instead of opening a separate dialog box, a pane is added to the right side. Anything that you change using from the pane is reflected on the slide in real time. It means that you don’t have to open and close the dialog box again and again to view the changes. Just like other Office 2013 suite applications, it includes an Online pictures option to let you quickly add background to the slide from your favorite online image resource; you can choose an image from the Office.com Clip Art Library, the Bing Image Search, or from your own SkyDrive and Flickr account.

 

Alignment Guides, Merge Shapes & Auto-Text Wrapping

A new feature, included in PowerPoint 2013, as well as Word 2013, is the Alignment Guides. It allows you to easily align objects and text in a slide, relative to each other. You can use the object alignment option to merge different shapes with each other. For instance, If you want to merge together two shapes, the alignment guides help you in quickly adjusting them together according to top, down, left and right margins. Another very useful, and much needed, feature added to PowerPoint 2013 is auto-text wrapping. When an image is added to a slide with text in it, the text automatically readjusts itself around the image so that there is no overlapping of any kind.

 

Insert Online Video, Image And Audio

PowerPoint 2013 now allows you to add videos, images and audio files directly from the internet, without first downloading them to your PC. Think of it as the object being embedded in your presentation. The previous version of PowerPoint also had the option to add videos from the web, however you had to copy the embed code of required video and paste it into PowerPoint. The latest version allows you to Insert an online video in your presentation using the integrated Bing Video Search, SkyDrive Account, YouTube, or From a Video Embed Code. For instance, to add a YouTube video, just search for it, select the required one from the search results and click OK to embed it into your presentation.

 

The image results are, by default, set to show the images that are licensed under Create Commons, so it eliminates the chance of copyright violation when you use an online image in your presentation. You can also choose to view all the web results for your search.

 

Export Presentation As WMV & MPEG-4 Video

PowerPoint 2010 also lets you save the presentation as a video, but only in WMV format. In PowerPoint 2013, another format, MPEG-4 is added to save converted presentation in video format. Due to the addition of MPEG-4 format, the presentation video can directly played on a lot of media players and devices. Now, users don’t require Windows Media CODEC installed on non-Windows devices to watch the presentation. Also, portable devices, as well as a lot of LCD/ LED TVs have built in support to play MPEG-4 format. Just go to Export, and select Create a Video. All the other options, including the Resolution, and whether to use recorded timings and narrations are available with the MPEG-4 format.

 

Start at the new Start screen

As with the other key Office 2013 applications, PowerPoint 2013 shares the new Modern-style interface and a revamped Start screen. Instead of the blank presentation you started with in PowerPoint 2010, this screen is packed with options including a range of templates. Also on the Start screen is a link to your current online SharePoint or SkyDrive account, a list of recently accessed PowerPoint files, and an Open Other Presentations link which you use to access files on disk or stored in the cloud.

You can also search online for templates and themes from the Start screen; a list of suggested searches helps here.

Now you can preview layouts before selecting a Theme to use.

Themes are sleeker, and Variants more varied

PowerPoint Themes are predesigned slide designs that spare you from doing the design work yourself. In PowerPoint 2010 there was a plethora of Themes, Color Schemes, Font Schemes and Effects to choose from. PowerPoint 2013 simplifies everything. The new Themes default to a 16:9 aspect ratio and each has a small subset of Variants, which provide variations in color and some design elements for that Theme.

You’ll find Themes from both the Start screen and the new Design tab. On the Start screen you can click a Theme, preview its variant,s and scroll through previews of the Theme Title, Title and Content, Smart Chart and Photo layouts before committing to one to use.

The old Merge Shape tools are now easier to find.

Shape tools get improvements

Although some of the Merge Shapes features that are touted as being new in PowerPoint 2013 were in PowerPoint 2010, they weren’t accessible from the Ribbon toolbar. In PowerPoint 2013, though, the Join, Combine, Fragment, Intersect and Subtract tools are accessible by selecting the Drawing ToolsFormat tab and clicking the Merge Shapesbutton. You’ll use these to create your own custom shapes by combining and merging simple shapes to make more complex ones. These tools have a handy live preview as well.

In addition, new alignment guides show when shapes are lined up to each other, to slide elements, and to borders and they make it easier to line up and space objects evenly on your slides.

Formatting options have become more visible.

Find new formatting tools

In PowerPoint 2013, you’ll find many formatting features from task docked to the right of the screen as you work. In earlier versions of PowerPoint, these options appeared in dialogs over the slide, which you had to move or close to continue working.

To access these new task panes, right-click a shape, for example, and choose Format Shape to see the available options for a shape in the task pane. Click a picture and the task pane changes to show picture formatting options. While most of the formatting options are not new, this makes them easier to find.

New is the Eyedropper tool, available when you are making a color choice. Use this to match colors by sampling a color to use from a shape or photo.

Lok online for videos to include in presentations from within PowerPoint.

Video input and output improve

PowerPoint 2013 supports additional video formats so it’s more likely videos will play in your presentation without you needing to install additional codecs.  For example, PowerPoint 2013 supports the MP4 and MOV formats for playing video, and you can export a PowerPoint presentation to video in MP4 or WMV formats.

The new Video button on the Insert tab includes options that let you search for a video from an online source and drop it into your deck without first downloading it to your computer.

At long last, there’s a button to play audio tracks in the background and across slides.

Audio playback options expand

PowerPoint 2013 supports a wide range of audio formats without requiring you to download and install additional codecs. Supported formats now include AIFF, AU, MID, MIDI, MP3, M4A, MP4, WAV, and WMA.

You can click a button in PowerPoint 2013 to play audio tracks across the entire slideshow or across slides. While this has always been possible, it was ridiculously annoying to set up.  Now all you need do is to insert the audio file, select it, and chooseAudio Tools, Playback tab and click the Play In Backgroundoption.

Only have one monitor? You can finally take advantage of Presentation View.

Presentation View becomes rosier

While the PowerPoint Presenter View was available in earlier versions of PowerPoint most users didn’t know it existed. Plus, if your computer only had one monitor you couldn’t access it —even to rehearse your presentation!

Now you can access Presenter View even on a single monitor by pressing Alt + F5. In Presenter View you can swap monitors for Presenter View and Slide Show View if desired. You can also view a thumbnail view of your slides, and click to view a slide out of sequence.

The new Zoom option lets you look close-up into an area on a slide to draw attention to it. There’s a new laser pointer tool here, too.

The new Comments task pane makes it easier to converse when working with others.

Work better with your team

When you’re designing a presentation with others, the new Comments feature will make it easier to discuss your slideshow with collaborators. When you add a comment, it appears in a Comments task pane down the right of the screen and stays visible while you work.

There are also options to add a comment from the Insert tab or the Comments task pane. The Comments task pane lets you navigate through comments, and see if there are comments on other slides. You can view your presentation with or without comments by selecting the Show Comments from the Review tab, and deselecting Show Comments.

The new Office Presentation Service expands features for Presentation View and video in online presentations.

Bring your presentation online

Now you can present a deck stored in the cloud or on your PC to the Web in real time. To use the new Office Presentation Service, choose File, Share, Present Online. You can also allow attendees to download the presentation to their own PC.

You’ll also see Presenter View while making your presentation. Plus, you can play video at presentation time, and viewers get their own set of video controls. In addition, viewers can navigate back to previous slides if they need to check or follow up on something.

 

Switching accounts / SkyDrive integration

I’ll admit, I really wasn’t crazy about the idea of “logging in” to Office initially. I also admit that this isn’t the most exciting or even impressive feature, but it is one that I am thankful for. As someone with several Microsoft Accounts, a couple Office 365 accounts, and therefore many SkyDrive accounts, it was a bit inconvenient having to go to the web, sign in to a SkyDrive account, and then download whatever file I needed. I really love being able to quickly switch between profiles to quickly access files in the cloud right from PowerPoint.

Having two Microsoft Accounts gives me a nice little “fence” to separate my personal and work files. All I have to do is click on “Switch account” to access my other accounts.

If I didn’t want to separate files via multiple Microsoft Accounts, I can also just add two different SkyDrive accounts to one profile. In other words, I sign into PowerPoint with one Microsoft account, but add all my SkyDrive accounts by clicking on “Add a Place” from the backstage open screen.

The only thing I don’t like about this second method is that at first glance there is no way to distinguish between my two different SkyDrive folders. As you can see in the above picture, PowerPoint only displays the user name (which is the same) next to each account. On the Open screen, I would love to see the email address display below the name like in the Accounts screen. Other than that, this is a wonderful addition, one that makes me utilize my free cloud storage more than ever before, and limits my need to “remote desktop” into my work computer.

Threaded comments

When collaborating with others, it is now a lot less complicated to follow conversations. Comments are now “threaded” and a lot easier on the eye.

Play From and Motion Path End

Technically, these are two separate but similar features that tie for third place in my book. I work with a lot of animations, and these two new additions have saved me a ton of time when working with and creating them.

Play From

The old Play button in the Animation Pane is now a Play From button, allowing you to preview a portion of the animations on a PowerPoint slide. Simply select an animation in the animation pane before pressing the Play From button.

Motion Path End

When drawing motion paths, PowerPoint now “ghosts” your object so you can see exactly where that object will appear when the animation completes, so no more guessing!

Color Picker

PowerPoint now includes a color picker! Better late than never, right?

The Eyedropper tool is found in the Shape Fill drop menu located from both the Home tab and the Drawing Tools Format tab. To select a color on the slide, simply click on the Eyedropper button, and then click on the desired color. To select a color from outside of the PowerPoint application window, click and drag.

Presenter View

The presenter view received quite the overhaul. It now is much darker, so presenting from behind a computer screen will not create a creepy glow.

It also includes three resizable panes: a slide preview, a next slide preview, and a notes area. To resize any of these areas, simply hover your mouse over any of the divider bars, then just click and drag.

Personally, I don’t need to see my current slide or the next slide. So my view usually looks like this:

In the above picture, I’ve completely collapsed the current slide view, resized the next slide view to a teeny-tiny thumbnail, and maximized my notes area to act as a kind of teleprompter.

There are also a lot of tools at your disposal that were once buried in hard-to-reach menus. All buttons are touch-friendly sized, making it easier to navigate a presentation from a touch-enabled monitor or tablet. The only problem is that these buttons appear in the Current Slide pane, so if you are like me and minimize that area, they are no longer easily accessible; however, you can still get to those options by right-clicking.

Also very useful, you can now jump to any slide or section in your presentation by clicking the Slide Sorter button (the one next to the pen tool) or by right-clicking and selecting “See All Slides.

Your view will change, but your audience will still see your previously selected slide. As you select a different slide, your audience will just see a flawless transition to a new slide and will never know you are presenting out of order.

But perhaps the best addition to the presenter view is the ability to zoom into a portion of a slide.

Simply select the Zoom In button (Magnifying Glass icon), hover your mouse over the area you’d like to zoom into, and click.

Well, now that PowerPoint 2013 has released to manufacturing, it’s time to publish my big list of new features. This is my list of new stuff in PowerPoint 2013, definitely not the same list Microsoft marketing publishes. So here we go…

Start UI. PowerPoint 2013 gives you a whole new experience from the get-go. Choose from a bunch of new templates and variants and see previews of a few slide layouts before you begin your presentation.

16×9. This is the new default slide aspect ratio. (The old one was 4×3.) Don’t worry, you can still set your default template to 4×3 if you want.

13.33″ x 7.5″. This is the new default slide size. (The old 4×3 was 10″ x 7.5″, and the old 16×9 was 10″ x 5.76″.) Personally, I think this is a very good thing.

Before I forget, Scale to Fit Paper is now ON by default in the File | Print dialog. I’m sure this is directly related to the 13.33×7.5 slide size feature above. (So the whole 16×9 slide will print on the page.)

Slide Size tool. There’s a new tool on the Design tab to help you switch your slides from 4×3 to 16×9 and back without completely wrecking all your content. Yay!

Variants and SuperThemes. We now have variations of a theme that are built-in. Most variants are very similar to the “base” theme, with changes to the color or font set. Themes that include variants are called SuperThemes.

Format panes. Instead of having a Format dialog, we now have a Format pane that is docked to the right side of the work space.

Insert Online Pictures. The Office programs now distinguish between inserting pictures from your hard drive and inserting them from online. Similar settings exist for Video and Audio.

Logging in. Log into your Microsoft.com account, and you’ll see more content and have more options. For example, if I’ve logged onto my MSFT account, my SkyDrive will show up (along with office.com, Flickr and Bing image search) when I click Insert Online Pictures.

Saving. When you save, online locations such as SharePoint team sites and Skydrive are in the forefront. Don’t forget to click Computer before browsing to a location if you’re saving to your hard drive!

Present Online. This is really the equivalent of Broadcast Slide Show, but the presenter has the option of letting people download the presentation as well (or not). Be aware — if you allow the audience to download, then they’ll also have the ability to navigate through the broadcast presentation at their own pace while you’re presenting.

Save as Video. By default this now creates an MPEG-4 Video. WMV (Windows Media Video) is still an option.

New Slide button. They finally added this to the Insert tab! (Only took three versions, sheesh. Unfortunately it’s still in the wrong place — it should be on the other side of the Images group, but nobody listens to me!) Don’t worry, it’s still on the Home tab also.

Popup menu in Slide Show View. The buttons that show in the lower left corner during slide show view have been tweaked for a better touch experience. They’re not as subtle as they could be, but they’re not as bad as they could be, either.

See All Slides. When in a slide show, we now have a view that looks kind of like Slide Sorter View. (There’s no longer a Go to Slide menu with an option to navigate by slide title, though.)

Presenter View. This is all kinds of new and all kinds of cool. And if you only have one monitor, use Alt+F5 to see and practice with Presenter View!

Page Curl transition. Yes, you heard (read) me right — we finally have a page turn transition! It’s actually called Peel Off, but what’s in a name? Actually, we have quite a few new transitions, including Page Curl, Curtains, and Fracture (among others). Also, while we’re on the subject of transitions, the bounce has been removed from the end of the Pan transition.

Play From. The animation pane now lets you play from the selected animation.

Motion Path End. A ghosted object now shows up to show you the end position of a motion path. Very, very helpful!

Animation Zombies. Some of the old animations (Stretch and Collapse, for example) are baaaaack!

Threaded Comments. Comments have been enhanced with a Comments Pane that shows the comments thread and avatars for those commenting.

Enhanced Smart Guides. Those whisker things that showed up in PowerPoint 2010 to help you align and position objects on a slide? Well, they got even better in 2013 because now they also help with distribution.

Enhanced Guides. We now have the equivalent of lockable, colorable guidelines, people! Wahooo! Put one set of guides on your slide master (to indicate margins, for example). Add others to any layouts that might require different guides. And add even more to the regular slides as you’ve always done. When you’re in Normal (editing) View, only the guides on the slides will be selectable — otherwise you’ll need to go to Master View to move them. Oh, and did I mention that you can recolor all of these? Just right-click a guide…

Color Picker. We now have eyedroppers to pick up and apply fill, outline and font colors. All together now: Thank you, PowerPoint Team!

Merge Shapes. These tools, which are similar to the Pathfinder tools in Illustrator, are now on the Ribbon (on the Drawing Tools Format tab). The group is called Merge Shapes instead of Combine Shapes. There is also a new tool, Fragment, to complement the other four.

Semantic Zoom. We can zoom and pan in Slide Show View now.

Charts. Charting is a lot better in many ways and a lot worse in others. Now a small Excel datasheet opens above the chart instead of Excel opening and taking up half your screeen. The interface is vastly improved. They added a combo chart to the types of charts (yay!). They added new chart styles (good) but removed the 2007/2010 chart styles (bad). They made the default chart font size 12 points (good or bad, depending if you like it or not) and the default chart font color a tint/shade of Dark 1/Light 1 (horrible if Dark 1/Light 1 is anything besides black or white).

PowerPoint Web App. This has lots of new features. We can now add, edit and format shapes, apply a new theme, and use animations and transitions. We also have audio and video playback in both Reading and Slide Show views. It still supports co-authoring, but now it supports co-authoring with regular ol’ PowerPoint, too. And if you embed your presentation into a web page or blog, it’s no longer just static pictures — it’s actually like a regular presentation with animations, transitions, audio and video. (Old embedded presentations will automatically update to behave this way, too.)

Default Office Theme is a bit different. The colors are different and the default effects set is way more subtle.

SmartArt graphics. We got some new SmartArt diagrams.

Backstage. Along with the overall interface overhaul to a newer, flatter look, Backstage has been reorganized once again.

WHAT’S MISSING (WELL, KIND OF…)

Save as HTML. Gone. Done. Kaput. It’s not in the interface, and it’s not accessible with VBA either.

Insert ClipArt. This has been replaced with Insert Online Pictures. No clipart or picture collections are installed with Office 2013.

Not missing, just moved. Theme Colors, Fonts and Effects dialog are no longer on the Design tab, but they are available in Slide Master View. Background Styles are available in Slide Master View.

Broadcast Slide Show. This isn’t really gone — it’s just morphed into Present Online.

Outline pane. Again, this isn’t actually gone, it just doesn’t show up any more next to the Slides pane in Normal (editing) View. Go to the View tab to turn the Outline pane on and off.

Combine Shapes. For those of you who used these, they’re not gone. They’ve been promoted to the Drawing Tools Format tab of the Ribbon and are now called Merge Shapes.

In Slide Show View, there’s no longer a Go to Slide menu with an option to navigate by slide title. Instead, we have the new See All Slides view, which looks similar to Slide Sorter view.

Posted in Computer Software, Computer Softwares, Documentations, My Research Related, Project Related, Research Menu | Tagged: , , | 1 Comment »

What’s New In Microsoft excel 2013 ?

Posted by Hemprasad Y. Badgujar on July 9, 2014


Microsoft’s updated spreadsheet tool isn’t getting a lot of new, whiz-bang features, but it is becoming more functional. That’s something both new and experienced users will enjoy—especially a new approach to an old problem that used to require a cumbersome workaround. Complex tasks become easier to perform, thanks to tools such as Recommended Charts and Recommended PivotTables tools. Other changes place choices closer to your data, and use big-business brawn to crunch data right into Excel.

To help you get up to speed, read on for 10 new features that make your work easier in the new Excel. Want to know more about the new Office suite? You’ll find our full review of Office 2013 here, as well 10 killer features in the new Word 2013 here.

Start screen sets the scene

Excel’s new Start Screen helps you get to work more quickly. Along its left edge are the most recently used worksheets, any of which can be pinned to your Recent list so they will always be visible. Here, too, you can click Open Other Workbooks to access your files from a disk or the cloud. The Start Screen’s top-right corner also shows the SkyDrive (or SharePoint) account you are currently connected to.

A range of templates appears here to help you quick start a project. These can also be pinned, or you can use the search feature to look online for other templates. A list of suggested searches can help you get started.

New users will appreciate the template choices, and existing users will likee the Recent file list and quick access to existing files. Although the Start Screen can be disabled, I find it useful enough to stick with it.

The Open tab has links to recently accessed files and locations.

Enjoy a new Backstage View

The Backstage View, introduced in Office 2010, is accessible from the File menu. In Excel this has been revamped to show exactly what you’re doing so you can choose the appropriate task.

The Open tab now gives you access to recently accessed workbooks, making it a combination of the Open and Recent tabs from Excel 2010. You can pin worksheets to this list or click Computer to access recently accessed locations (any of which you can pin permanently here, too). There’s also access to your SkyDrive account, and the option to set up additional SkyDrive or SharePoint accounts.

Want to split first and last names into two columns? Look to the new Flash Fill feature.

Make Flash Fill magic

The most whiz-bang new feature is the Flash Fill tool. Its predictive data entry can detect patterns and extract and enter data that follows a recognizable pattern. It solves some common problems that currently require cumbersome workarounds to achieve.

One such problem is extracting a person’s first name from a column of full names. In a blank column adjacent to the one that contains full names, you simply type the first name and then click the Home tab, and select Fill, Flash Fill. The first names of everyone in the list will be entered into that that column immediately. You can use the same process to extract last names, to join first and last names, to extract months, days or years from dates and even extract values from cells.  While you could have always done this with formulas, now Flash Fill ensures anyone can do it very quickly and easily.

Take the guess work out of which chart to choose to best display your data.

Simplify choices with Recommended Charts

This falls somewhere between a whiz-bang new feature and something that makes working in Excel more intuitive. Recommended Charts shows only a subset of chart types that are appropriate to the data you’ve selected. It will help inexperienced users create charts that help explain the data and don’t confuse the viewer.

To use the tool, select the data that you want to chart, click the Insert tab and selectRecommended Charts. A dialog appears with a range of charts to choose from—click each in turn to see how your data will look plotted on that chart. Select the desired option and click OK, and the chart is created automatically.

Change the look of your chart by selecting options from the pop-up menu.

Chart tools get smarter

In previous versions of Excel, when a chart is selected, the Chart Tools tab revealed three additional tabs: Design, Layout, and Format. The interface is simpler in Excel 2013, with only the Design and Format tabs to choose from.

In addition, a set of icons appears outside the top right edge of a chart when it is selected. Click any of these buttons—Chart  Elements, Chart Styles or Chart Filters—to reveal additional chart formatting options. Click Chart Elements to add or remove elements, such as axis titles and legends; click Chart Styles to change the style and color of your chart; or click Chart Filtersto view filtered data using a live preview.

Quick Analysis offers formatting, totals and charts for analyzing your data.

Quickly analyze your data

The new Quick Analysis tool can help both new and experienced users find options for working with selected data. To use it, select the data to analyze, and the Quick Analysis icon  appears in the bottom-right corner of the selected data.

Click that icon, and a dialog appears showing a range of tools for analyzing the data, such as Formatting, Charts, Totals, Tables and Sparklines. Click any option, and a series of selectable choices appear; preview those choices by mousing over them. Next, click the option you like to apply it to your data. This feature speeds up the process of formatting, charting and writing formulas.

PivotTables just became ridiculously simple to create.

Answer questions instantly with Pivot Tables

Pivot Tables are a powerful tool for analyzing and answering questions about  your data, but they’re not easy for new users to create. For the first time, though, if you can click a mouse key, then you can create a meaningful Pivot Table, thanks to the new Recommended PivotTables. To use it, select your data, including headings, and chooseInsert, Recommended PivotTables. A dialog appears showing a series of PivotTables with explanations of what they show. All you need do is to select the table that shows what you want to see, click OK,and the PivotTable is automatically drawn for you.

Excel 2013 now integrates Power View for beefy analysis and reporting.

imelines

A timeline lets you filter records in a PivotTable—it works similar to a slicer, but you’ll filter by dates. For instance, Figure E shows a PivotTable and timeline. (I used the same data range used in #3.) Once you have a PivotTable arranged, adding the timeline is simple:

  1. With the PivotTable selected, click the contextual Analyze tab.
  2. In the Filter group, click Insert Timeline.
  3. In the resulting dialog, check the date field (in this case, that’s Date) and click OK. Excel will embed the timeline alongside the PivotTable.

 

Excel_New_Ftrs.FigE.jpg

 

Use the new Timeline with a PivotTable.

To use the timeline, just drag the scroll bar or click a tile to further filter personnel totals by specific months. In the upper-right corner, you can change to years, quarters, months, and days. To clear the timeline filter, click the Clear button in the upper-right corner.

Make quick reports with Power View

The Power View add-in, available for previous versions of Excel, is now integrated inside Excel 2013. Power View is typically used for analyzing large quantities of data brought in from external data sources—just  the sort of tool that big business might use.

Incorporated within Excel, it’s now  accessible to anyone. To see it at work, select your data and choose Insert, Power View. The first time you use it, the feature installs automatically. Then a Power View sheet will be added to your workbook, and the analysis report will be created.

You can add a title and then filter the data and organize it to display the way you like. The Power View tab on the Ribbon toolbar displays report format options, such as Theme and text formats, as well View options for Field List and Filters Area panels that you can use to filter and sort your data.

Try to work on a worksheet that someone else is editing? You’ll be warned that it’s locked. You can view and download it, but can’t change it.

Share files and work with other people

Working with other people on shared files in real time is a double-edged sword. While it’s useful to do this, you will face problems when two people try to change the same item at the same time. In Excel 2013 you can share and work collaboratively on files with others via SkyDrive using the Excel WebApp, and multiple people can work on the same file at the same time. However, you cannot open a worksheet from SkyDrive in Excel 2013 on your local machine if someone else is currently working in the same worksheet. This protects the worksheet against conflicting changes.

Instead, if one person is editing an Excel file that’s stored online, others with permission can view and download it, but they cannot change the original, whichis locked until the person working with it is finished.

Like other applications in the Office 2013 suite, Excel 2013 saves files by default to the cloud. You can open, view, and edit Excel files  online in a browser using the Excel WebApp without having Excel 2013 on the local hard drive.

Share your cloud-stored worksheets with friends on Facebook, Twitter, or LinkedIn.

features to explore

Get started quickly

Some of the templates that are available in Excel

Templates do most of the set-up and design work for you, so you can focus on your data. When you open Excel 2013, you’ll see templates for budgets, calendars, forms, and reports, and more.

Instant data analysis

Data Analysis Lens

The new Quick Analysis tool lets you convert your data into a chart or table in two steps or less. Preview your data with conditional formatting, sparklines, or charts, and make your choice stick in just one click. To use this new feature, see Analyze your data instantly.

Fill out an entire column of data in a flash

Flash Fill in action

Flash Fill is like a data assistant that finishes your work for you. As soon as it detects what you want to do, Flash Fill enters the rest of your data in one fell swoop, following the pattern it recognizes in your data. To see when this feature comes in handy, see Split a column of data based on what you type.

Create the right chart for your data

Recommended Charts

With Chart recommendations, Excel recommends the most suitable charts for your data. Get a quick peek to see how your data looks in the different charts, and then simply pick the one that shows the insights you want to present. Give this feature a try when you create your first chart.

Filter table data by using slicers

Table slicer

First introduced in Excel 2010 as an interactive way to filter PivotTable data, slicers can now also filter data in Excel tables, query tables, and other data tables. Simpler to set up and use, slicers show the current filter so you’ll know exactly what data you’re looking at.

One workbook, one window

Two workbooks, two windows

In Excel 2013 each workbook has in its own window, making it easier to work on two workbooks at once. It also makes life easier when you’re working on two monitors.

New Excel functions

New Web functions

You’ll find several new functions in the math and trigonometry, statistical, engineering, date and time, lookup and reference, logical, and text function categories. Also new are a few Web service functions for referencing existing Representational State Transfer (REST)-compliant Web services. Look for details in New functions in Excel 2013.

Save and share files online

Online places to save your workbook

Excel makes it easier to save your workbooks to your own online location, like your free OneDrive or your organization’s Office 365 service. It’s also simpler to share your worksheets with other people. No matter what device they’re using or where they are, everyone works with the latest version of a worksheet— and you can even work together in real time. To learn more about it, see Save a workbook to the Web.

Embed worksheet data in a web page

To share part of your worksheet on the web, you can simply embed it on your web page. Other people can then work with the data in Excel Online or open the embedded data in Excel.

Share an Excel worksheet in an online meeting

No matter where you are or what device you’re on—be it your smartphone, tablet, or PC—as long as you have Lync installed, you can connect to and share a workbook in an online meeting. To learn more about it, seePresent a workbook online.

Save to a new file format

Now you can save to and open files in the new Strict Open XML Spreadsheet (*.xlsx) file format. This file format lets you read and write ISO8601 dates to resolve a leap year issue for the year 1900. To learn more about it, seeSave a workbook in another file format.

Top of Page TOP OF PAGE

New charting features

Changes to the ribbon for charts

Chart Tools

The new Recommended Charts button on the Insert tab lets you pick from a variety of charts that are right for your data. Related types of charts like scatter and bubble charts are under one umbrella. And there’s a brand new button for combo charts—a favorite chart you’ve asked for. When you click a chart, you’ll also see a simpler Chart Tools ribbon. With just a Design and Format tab, it should be easier to find what you need.

Fine tune charts quickly

Chart buttons to change chart elements, layout, or chart filters

Three new chart buttons let you quickly pick and preview changes to chart elements (like titles or labels), the look and style of your chart, or to the data that is shown. To learn more about it, see Format your chart.

Richer data labels

Bubble chart with data labels

Now you can include rich and refreshable text from data points or any other text in your data labels, enhance them with formatting and additional freeform text, and display them in just about any shape. Data labels stay in place, even when you switch to a different type of chart. You can also connect them to their data points with leader lines on all charts, not just pie charts. To work with rich data labels, see Change the format of data labels in a chart.

View animation in charts

See a chart come alive when you make changes to its source data. This isn’t just fun to watch—the movement in the chart also makes the changes in your data much clearer.

Powerful data analysis

Create a PivotTable that suits your data

Recommended PivotTables for your data

Picking the right fields to summarize your data in a PivotTable report can be a daunting task. Now you can get some help with that. When you create a PivotTable, Excel recommends several ways to summarize your data, and shows you a quick preview of the field layouts so you can pick the one that gives you the insights you’re looking for. To learn more about it, see Create a PivotTable to analyze worksheet data.

Use one Field List to create different types of PivotTables

Add more Tables in the Field List

Create the layout of a PivotTable that uses one table or multiple tables by using one and the same Field List. Revamped to accommodate both single and multi-table PivotTables, the Field List makes it easier to find the fields you want in your PivotTable layout, switch to the new Excel Data Model by adding more tables, and explore and navigate to all of the tables. To learn more about it, see Use the Field List to arrange fields in a PivotTable.

Use multiple tables in your data analysis

The new Excel Data Model lets you to tap into powerful analysis features that were previously only available by installing the Power Pivot add-in. In addition to creating traditional PivotTables, you can now create PivotTables based on multiple tables in Excel. By importing different tables, and creating relationships between them, you’ll be able to analyze your data with results you aren’t able to get from traditional PivotTable data. To learn more about it, see Create a Data Model in Excel.

Power Query

If you’re using Office Professional Plus 2013 or Office 365 Pro Plus, you can take advantage of Power Query for Excel. Use Power Query to easily discover and connect to data from public and corporate data sources. This includes new data search capabilities, as well as capabilities to easily transform and merge data from multiple data sources so that you can continue to analyze it in Excel. To learn more about it, see Discover and combine with Power Query for Excel.

Power Map

Power Map

If you’re using Office 365 Pro Plus, Office 2013, or Excel 2013, you can take advantage of Power Map for Excel. Power Map is a three-dimensional (3-D) data visualization tool that lets you look at information in new ways by using geographic and time-based data. You can discover insights that you might not see in traditional two-dimensional (2-D) tables and charts. Power Map is built into Office 365 Pro Plus, but you’ll need to download a preview version to use it with Office 2013 or Excel 2013. See Power Map for Excel for details about the preview. To learn more about using Power Map to create a visual 3-D tour of your data, see Get started with Power Map.

Connect to new data sources

To use multiple tables in the Excel Data Model, you can now connect to and import data from additional data sources into Excel as tables or PivotTables. For example, connect to data feeds like OData, Windows Azure DataMarket, and SharePoint data feeds. You can also connect to data sources from additional OLE DB providers.

Create relationships between tables

When you’ve got data from different data sources in multiple tables in the Excel Data Model, creating relationships between those tables makes it easy to analyze your data without having to consolidate it into one table. By using MDX queries, you can further leverage table relationships to create meaningful PivotTable reports. To learn more about it, see Create a relationship between two tables.

Use a timeline to show data for different time periods

A timeline makes it simpler to compare your PivotTable or PivotChart data over different time periods. Instead of grouping by dates, you can now simply filter dates interactively or move through data in sequential time periods, like rolling month-to-month performance, in just one click. To learn more about it, see Create a PivotTable timeline to filter dates.

Use Drill Down, Drill Up, and Cross Drill to get to different levels of detail

Drilling down to different levels of detail in a complex set of data is not an easy task. Custom sets are helpful, but finding them among a large number of fields in the Field List takes time. In the new Excel Data Model, you’ll be able to navigate to different levels more easily. Use Drill Down into a PivotTable or PivotChart hierarchy to see granular levels of detail, and Drill Up to go to a higher level for “big picture” insights. To learn more about it, seeDrill into PivotTable data.

Use OLAP calculated members and measures

Tap into the power of self-service Business Intelligence (BI) and add your own Multidimensional Expression (MDX)-based calculations in PivotTable data that is connected to an Online Analytical Processing (OLAP) cube. No need to reach for the Excel Object Model—now you can create and manage calculated members and measures right in Excel.

Create a standalone PivotChart

A PivotChart no longer has to be associated with a PivotTable. A standalone or de-coupled PivotChart lets you experience new ways to navigate to data details by using the new Drill Down, and Drill Up features. It’s also much easier to copy or move a de-coupled PivotChart. To learn more about it, see Create a PivotChart.

Power View

Power View

If you’re using Office Professional Plus, you can take advantage of Power View. Simply click the Power View button on the ribbon to discover insights about your data with highly interactive, powerful data exploration, visualization, and presentation features that are easy to apply. Power View lets you create and interact with charts, slicers, and other data visualizations in a single sheet. Learn more about Power View in Excel 2013.

New and improved add-ins and converters

Power Pivot for Excel add-in

If you’re using Office Professional Plus 2013 or Office 365 Pro Plus, the Power Pivot add-in comes installed with Excel. The Power Pivot data analysis engine is now built into Excel so that you can build simple data models directly in Excel. The Power Pivot add-in provides an environment for creating more sophisticated models. Use it to filter out data when importing it, define your own hierarchies, calculation fields, and key performance indicators (KPIs), and use the Data Analysis Expressions (DAX) language to create advanced formulas. Learn more about the Power Pivot in Excel 2013 add-in.

Inquire add-in

If you’re using Office Professional Plus 2013 or Office 365 Pro Plus, the Inquire add-in comes installed with Excel. It helps you analyze and review your workbooks to understand their design, function, and data dependencies, and to uncover a variety of problems including formula errors or inconsistencies, hidden information, broken links and others. From Inquire, you can start a new Microsoft Office tool, called Spreadsheet Compare, to compare two versions of a workbook, clearly indicating where changes have occurred. During an audit, you have full visibility of the changes in your workbooks.

Cloud support

Microsoft claims that its cloud support is the true shining star of the Office 2013 suite. If you need it, you probably agree; many organizations aren’t taking full advantage of it yet. If you’re curious, you can quickly hook up to SkyDrive or your organization’s SharePoint team site by using the Save As (or Open) screen, as shown in Figure F. Doing so has two advantages:

  • You have quick and easy access to your Excel files on any device that runs Excel 2013 (including a Windows tablet and smartphone).
  • Using Office 365 (you’ll need a subscription), you canreview and edit your workbooks online using almost any web browser.
    Excel_New_Ftrs.FigF.jpg

Data Model and Relationships

Excel 2013’s new integrated data model support is well beyond a simple recommendation tip like this. You’ll want to study and familiarize yourself with all of the possibilities:

  • Create PivotTables based on multiple tables.
  • Create one-to-one and one-to many relations between tables.
  • Easily connect to OData, Windows Azure DataMarket, and SharePoint.
  • Drill down to detail levels in a PivotTable or PivotChart.
  • Drill up for a high-end view.

Apps for Office

This new feature provides quick access to specialized programs at Office Store. Just a quick click and you’re shopping! To install an app, click the Insert tab and then click Apps for office in the Apps group. You’ll need an account at the store, which the feature will help you create the first time you use it. Figure G shows Bing Maps as an installed app.

Excel_New_Ftrs.FigG.jpg

 

After creating an Office Store account, adding Bing Maps took just a couple of clicks.

Present online

Sharing a workbook online used to take a bit of preparation, but in Excel 2013, on-the-fly sharing is no problem. First, install Lync. If you have Office Professional Plus, you already have it, but you’ll need to configure it. Before sharing, sign into Lync. Then, return to Excel 2013, close all workbooks that you don’t want to share, and do the following:

  1. Click the File tab.
  2. Choose Share in the left pane.
  3. Click Present Online (in the Share section).
  4. Click Present.
  5. Choose a Lync meeting or create one, and click OK.

At this point, you can share the workbook and even allow others to update it.

Share work to your social networks

Here’s a handy way to share a to-do list, an event planning worksheet, or whatever spreadsheet you desire with your social network. You can now share Excel workbooks with Facebook and more from within Excel 2013 itself. To see the Post to Social Networks option, the best way to save the file first to SkyDrive.

If you haven’t saved your file to SkyDrive, then choose File, Share, and click Invite People. You’ll be stepped through the process of saving the file to the Cloud so that Save Asoptions later appear automatically. Once this is done, you are returned to the Share panel where the Post to Social Networks option now appears. Here you can select any social network that you have linked to your Office 2013 account. You can select whether viewers can view or edit your shared worksheet, and you can include a message, and then post it for review.

Posted in Computer Software, Computer Softwares, Documentations, Free Tools, My Research Related, Research Menu | Tagged: , , | 1 Comment »

What’s New In Microsoft Word 2013 ?

Posted by Hemprasad Y. Badgujar on July 9, 2014


A word processor is indispensable for anyone who creates documents, be it for work, school, or writing angry letters to your representatives in Congress. Now that Microsoft has finally released Office 2013 to the general public, we’re naming what we think are the 10 best new features in Word 2013. (We reviewed the whole enchilada last December, when it became available to Microsoft TechNet subscribers. You can read our opinionhere.)

Word 2013 boasts new and improved features across the board, spanning document creation to reading, editing, and collaboration. What’s even better is that Microsoft has made these advanced features easier for everyone to use.

The new Design tab includes document formatting options to format the entire document.

A New Look for Word

The first change you’ll see when you fire up Word 2013 is a new landing page (rather than a blank document, as in older versions of Word). In the left pane, you’ll see a list of your most recent Word documents as well as the option to open previously viewed documents. In the right pane, you can pick from various templates, such as blank, invoice, blog post, and so on. You can also search through Microsoft’s library of templates using certain keywords, such as “fundraiser” or “proposal.” The new landing page may take some getting used to, but will prove helpful in accessing templates you might have otherwise overlooked.

Microsoft Word has a new landing page.
Microsoft Word has a new landing page.

Integrated Account Management & Connected Services

The landing page provides you with a sleek interface organized into three sections: the navigation sidebar, account information and product information. The navigation bar allows you to access essential word processing functionalities including sharing, exporting and return buttons. The overall Word interface is highly responsive obeying the click, instantly. As illustrated below, Word 2013 comes with a customizable themes (that can be selected from the Office Background dropdown menu boasting multiple attractive themes). Moreover, understanding the power of social media and its penetration in generating viral content, Microsoft has decided to ride the wave by offering Connected Services that virtually allows you to access documents from any device on the go. Just use your Microsoft or SkyDrive account or connect using Youtube. Still not satisfied with the feature? Why not Add a service and connect your work to your favorite online hot spots. The Product Information on the left allows you toManage account or analyze the overall subscription of the Office Suite with update details.

Microsoft Word Account Preview

When adding a new service, Word 2013 allows you to link your existing Microsoft account with another online service like LinkedIn. If you don’t have a LinkedIn account, just click the Join Now button on the top right corner to create one. You can specify the access duration and upon approving the link, the new service will get connected to Word, successfully.

Word 2013 Connected Services

The new Design tab

Document formats can be further extended by choosing Themes, Colors, and Fonts to use with them. If you come up with something you’d like to use all the time, the new Set as Default option allows you to make the current combination of formatting settings the default for all new documents.Word 2007 and Word 2010 added interesting features for styling a document, but the tools were scattered throughout the user interface, and they were difficult to use. The new Word 2013 Design tab consolidates all these tools onto one tab, so they’re easy to find. Microsoft has also added a visual element to its Document Formatting tool that allows you to preview a document style before applying it to the entire document. You’ll also find a range of new document format designs to choose from.

The new Alignment Guides in Word 2013 show you when an object is lined up with another object or page element.

Navigation Task Pane

Word 2013 - Navigation Task Pane

 

Bookmarks

When you reopen a document, a bookmark is placed in the last location you scrolled to, and you can keep reading right where you left off.

Bookmarks show the last location you scrolled to.

Object Placement Beyond The Right Click

In all previous versions, placement options relevant to objects like pictures, figures, etc. were accessible from the right-click menu. You may have used the Wrap Text feature, placement and adjustment with text, re-sizing and rotation utilities. In Word 2013, a simple click reveals all relevant functionality with the layout options floating on the right, while re-sizing buttons on and around the object. Options can be easily expanded by clicking See more. Double click on the picture to zoom for a better view of the target. With live layout and alignment guides, you can drag your image wherever you want with the text adapting in real-time, accordingly.

Word Picture Placement

Enhanced Templates Directory

A comprehensive template directory comes to view upon clicking New. It is advisable to load the Welcome to Word document for a quick tour of Word 2013. A large number of useful and popular templates are organized in the New tab as user-friendly tiles. Moreover, the search bar allows you to browse, view and select from hundreds of online templates in the Office Library.  Suggested searches enhance the searching experience by highlighting frequently used categories.

Word 2013 Landing

Office Apps: Redefining Creativity

Office Apps are a new way of adding creative and useful applications to Microsoft Office 2013 suite. The Merriam-Webster Dictionary and eFax app for Word 2013 are useful ways of increasing productivity while creating and managing documents. Moreover, there are loads of free featured apps and a huge collection in the Office Store awaiting your click. You can manage your apps and refresh to keep track of any updates.

 Insert Pictures From The Web, Instantly

The Insert tab on the ribbon reveals some new and useful additions. One such feature is the option to insert online pictures. Microsoft has updated its Royalty Free Photos and Illustrations directory that can be accessed using the search bar in the Insert Pictures window. You can also browse your online SkyDrive storage for clipart stored in the cloud. Too often do we use our Image Search to identify relevant photos in the web browser to paste into Microsoft Word. Now, you can use the Bing Image Search and Flickr account to hunt and insert online pictures for good from within Word 2013.

Insert Online Pictures

Alignment with Alignment Guides

If you have text wrapping set to an option such as Square, the Alignment Guides also show when the object is aligned with the top of a paragraph or to a heading.This new feature makes lining up images and other objects a cinch in Word 2013. When you move an object such as an Image, Chart, or SmartArt illustration around in a document, Alignment Guides automatically appear to show you when the object is lined up with other elements on the page. The guides also show you when the object is lined up to key page locations, such as the edge of the page and the left and right margins.

Read mode provides a superior experience for anyone who uses Word primarily to read documents others have created.

Comfortable reading in Read mode

If you use Word more to read documents than to create them, you’ll like Word 2013’s new Read mode. It automatically resizes a document to the full window. Click the on-screen arrows to flip through the pages, or swipe the screen from either edge of the display if you’re using a touch-screen monitor. Switch to page view for vertical scrolling. Right-click on any unfamiliar words to display a definition without existing read mode. You can also click on any image, table, or chart to enlarge it for easier reading.

The new comments tool encapsulates related comments into a single bubble, which makes them much easier to follow.

Smarter collaboration

 

If you collaborate with others on Word documents, you know how quickly conversations can become difficult to follow, because Word’s comments tool treats every utterance as a new comment.

In Word 2013, you can reply to a comment within that comment by clicking the Comment Reply button. This captures the entire discussion of a given point inside a single comment box, which will appear as a small bubble in the document’s margin.

You can also lock the change-tracking feature, so it can’t be bypassed unless the collaborator provides the correct password.

And with the new Simple Markup option, you can hide complex markups and view the final version of the document. Switch between this and All Markup view from the Review tab or by double clicking the line in the left margin beside a tracked change.

Word can now open PDF files so you can edit and complete them in Word including working with table data in the file.

Open and edit PDFs inside Word


Word 2013 can not only open a PDF document, it also enables you to edit it—without need of a third-party application. You can also edit the data inside tables and move images around the document. When you’re finished, you can save the document as either a PDF or a Word file. This is a must-have feature for anyone who works with PDFs frequently.

Select a picture, chart, or SmartArt object, and the new Layout Options icon lets you configure placement and text wrapping options for it.

Discoverable layout options

You can also select Move with text or Fix position on page to control the location of the object. Click See more to open the old Layout dialog, which offers other options for positioning the object on the page.New layout options in Word 2013 make features such as wrapping text around an illustration much easier to use. When you click an image, a chart, or a SmartArt object in a Word document, a Layout Options icon appears outside its top right corner. Click it to select text wrapping options such as Tight, Square and Through.

As with the other applications in the Office 2013 suite, a formatting task pane opens when you right-click an object and choose, for example, Format Picture or Format Shape. This stays open as you work and shows formatting options relevant to the currently selected object.

If you use tables in your documents, the new Border Painter tool and Border Styles feature simplify and speed up formatting.

New table border tools

Select a Line Style, Line Weight, and Pen Color; or choose a preset from the Border Styleslist and paint the borders onto the table. You can also sample an existing border, using the Border Sampler tool in the Border Styles panel, and then use the Border Painter to paint that style elsewhere in the table.Formatting a Word table by adding different width and style borders has always been a pain point. Word 2013’s handy Border Painter tool makes this task supremely easy. To access it, choose Table Tools, Design, Border Painter.

There are new icons for inserting rows and columns in tables and options on the Mini Toolbar for deleting them, too.

Insert Online Videos And Interactive Content Easily

In an attempt to promote dynamic content in documents, Word 2013 presents to you the option to add online videos may it be from social media sites like Youtube, search engines like Bing Video search or videos from any other website (using embed code). To insert a video successfully, type a keyword in the relevant search bar to view results.

Word 2013 displays all results, mentioning the total number of links. Just click the result to preview the video before actually inserting it into the document. Similarly, multiple video results can be added by selecting, previewing and inserting, accordingly. Text Reflow allows you to fit the interactive content in the most appropriate manner.

Video Search from Word 2013

Simplified Markup View For Better Collaborations

Working with text had never been so interactive. Online Pictures and Videos already added color and dynamic content to the Word document ensuring fast track follow up on relevant topics. Now, with a simplified markup view meant to highlight changes in your document in a neat, effective manner encourages you to focus on collaborating work. The left sidebar indicates changes while a small cloud on the right indicates comments at the respective places. With Word 2013, you can instantly reply to comments in an organized manner to give rise to useful discussion threads. With Microsoft SkyDrive and SharePoint, working on projects and documents online as a collaborated effort could have never been simpler. These markers and comment threads allow you to highlight necessary details, corrections and pointers for the rest of your team to keep in mind. Similarly, keeping track of the activity around your workspace has thus, been made possible.

Word 2013 guide - Commenting feature

More new table features

Word has always had weak table tools, and Word 2013 finally addresses the problem. You can now add a new row to a table by hovering your mouse just outside the left edge of the table at the point at which the row is to be inserted. A small icon will appear; click on it and you’re done. There’s a similar icon for easily adding a new column. New Delete buttons on the Mini Toolbar make it easy to delete columns and rows; if the table itself is selected, the option lets you delete the entire table.

New Expand/Collapse options let you collapse and expand a document to make it easier to work on.

Collapse and expand a document

Long documents can become unruly to manage, especially if you’re working in just a small portion of it. Word 2013 lets you collapse and expand a document, so you see only the portion you need. To do this, you must format the document’s headings using the built-in styles Heading 1, Heading 2, and so on.

Switch to Print Layout view and you can collapse the document by hovering your mouse to the left of a formatted heading. Click the small disclosure triangle to hide the paragraphs between this heading and the next, leaving just the heading text visible.

Right-click a heading formatted with one of the heading styles to access the Expand/Collapse option, which gives you menu control for this feature.

Now you can present a document online to others in real time.

Understand The Impact, Definitely

The Review tab has a new Define feature that presents definitions of words and phrases, instantly using the relevant Word Apps like the Merriam-Webster Dictionary. Results and displayed on the right sidebar as soon as you select the text. Say goodbye to right-click menu and dictionary access when your results are displayed at a single click. Now, you can truly understand the impact of your content.

Word 2013 guide - Define feature

Verdict

It is always beneficial to look at new features objectively. Microsoft Word 2013 has indeed come with new tidings for progress in the area of word processing. You are now in a position to present documents online to people who do not have the latest version of Microsoft Office, how? This can now be achieved using the cloud-based storage and synchronization of documents for access, wherever needed. Just provide your team members with the respective link that can be pasted in browsers for viewing. Thus, with a modern, polished and internet-friendly Word 2013, the new life spells out productivity for us all.

Present a document online

Once everyone is connected to the service—which is run via the Microsoft Word Web App—they’ll be able to follow along as you present the document. The interface supports comments being made during the presentation, and participants can create a printable and downloadable PDF of the document if desired.Office 2013’s new Office Presentation Service allows you to present Word documents online. You must be signed into your Microsoft Account to use this feature. When you’re ready to share your document, chooseFile, Share, Present Online, and click the Present Online button to upload your document to the cloud. You will get a link that you can email or share with others so they can join the presentation.

There’s a lot to like about the new Microsoft Word 2013. The new features collectively will make your day-to-day work much easier to perform whatever that happens to be.

Posted in Computer Research, Computer Software, Computer Softwares, Documentations, Free Tools, My Research Related, Research Menu | Tagged: , , , , | Leave a Comment »

 
Extracts from a Personal Diary

dedicated to the life of a silent girl who eventually learnt to open up

Num3ri v 2.0

I miei numeri - seconda versione

ThuyDX

Just another WordPress.com site

Algunos Intereses de Abraham Zamudio Chauca

Matematica, Linux , Programacion Serial , Programacion Paralela (CPU - GPU) , Cluster de Computadores , Software Cientifico

josephdung

thoughts...

Tech_Raj

A great WordPress.com site

Travel tips

Travel tips

Experience the real life.....!!!

Shurwaat achi honi chahiye ...

Ronzii's Blog

Just your average geek's blog

Karan Jitendra Thakkar

Everything I think. Everything I do. Right here.

Chetan Solanki

Helpful to u, if u need it.....

ScreenCrush

Explorer of Research #HEMBAD

managedCUDA

Explorer of Research #HEMBAD

siddheshsathe

A great WordPress.com site

Ari's

This is My Space so Dont Mess With IT !!

%d bloggers like this: