Open AccessBook
Digital Image Sequence Processing, Compression, and Analysis
Todd Randall Reed
- 01 Jan 2004
50
TL;DR: A comparison of quality of service assessment in new generation WIRELESS VIDEO COMMUNICATIONS and image momentum restoration shows the need for further research into the relationship between image quality and motivation.
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Abstract: Introduction Todd R. Reed CONTENT-BASED IMAGE SEQUENCE REPRESENTATION Pedro M. Q. Aguiar, Radu S. Jasinschi, Jose M. F. Moura, and Charnchai Pluempitiwiriyawej THE COMPUTATION OF MOTION Christoph Stiller, Soeren Kammel, Jan Horn, and Thao Dang MOTION ANALYSIS AND DISPLACEMENT ESTIMATION IN THE FREQUENCY DOMAIN Luca Lucchese and Guido Maria Cortelazzo QUALITY OF SERVICE ASSESSMENT IN NEW GENERATION WIRELESS VIDEO COMMUNICATIONS Gaetano Giunta ERROR CONCEALMENT IN DIGITAL VIDEO Francesco G.B. De Natale IMAGE SEQUENCE RESTORATION: A WIDER PERSPECTIVE Anil Kokaram VIDEO SUMMARIZATION Cuneyt M. Taskiran and Edward J. Delp HIGH RESOLUTION IMAGES FROM A SEQUENCE OF LOW RESOLUTION OBSERVATIONS L.D. Alvarez, R. Molina, and A.K. Katsaggelos
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Citations
Automatic editing of footage from multiple social cameras
Ido Arev,Hyun Soo Park,Yaser Sheikh,Jessica K. Hodgins,Ariel Shamir +4 more
- 27 Jul 2014
TL;DR: An approach that takes multiple videos captured by social cameras---cameras that are carried or worn by members of the group involved in an activity---and produces a coherent "cut" video of the activity is presented.
177
Five Modulus Method for Image Compression
Firas A. Jassim,Hind E. Qassim +1 more
TL;DR: A novel approach of image compression based on a new method that has been created for image compression which is called Five Modulus Method (FMM), which consists of converting each pixel value in an 8-by-8 block into a multiple of 5 for each of the R, G and B arrays.
•Posted Content
Five Modulus Method For Image Compression
Firas A. Jassim,Hind E. Qassim +1 more
TL;DR: In this paper, a new method called Five Modulus Method (FMM) was proposed for image compression which consists of converting each pixel value in an 8-by-8 block into a multiple of 5 for each of the R, G and B arrays.
33
•Journal Article
A Novel Steganography Algorithm for Hiding Text in Image using Five Modulus Method
TL;DR: This paper is to create a practical steganographic implementation to hide text inside grey scale images using Five Modulus Method which is very efficient to hide the data inside the image.
Robust motion estimation methods using gradient orientation information
Toshiaki Kondo,Waree Kongprawechnon +1 more
- 01 Jan 2009
TL;DR: Simulation results show that the proposed methods perform motion estimation remarkably well irrespective of time-varying image intensities and cope better with the aperture problem in which only unidirectional gradients are available and large erroneous motion estimates are produced.
References
Multiple View Geometry in Computer Vision.
Bernhard P. Wrobel
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TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
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Determining optical flow
TL;DR: In this paper, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
12.4K
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Determining optical flow
Berthold K. P. Horn,Brian G. Schunck +1 more
- 03 Jan 1992
TL;DR: An iterative implementation is shown which successfully computes the optical flow for a number of synthetic image sequences and is robust in that it can handle image sequences that are quantified rather coarsely in space and time.
Secure spread spectrum watermarking for multimedia
TL;DR: It is argued that insertion of a watermark under this regime makes the watermark robust to signal processing operations and common geometric transformations provided that the original image is available and that it can be successfully registered against the transformed watermarked image.
6.4K
Performance of optical flow techniques
TL;DR: These comparisons are primarily empirical, and concentrate on the accuracy, reliability, and density of the velocity measurements; they show that performance can differ significantly among the techniques the authors implemented.
5.2K