Friday 11 October 2013

[Y570.Ebook] Ebook Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa

Ebook Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa

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Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa

Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa



Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa

Ebook Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa

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Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa

One of the most intriguing problems in video processing is the removal of the redundancy or the compression of a video signal. There are a large number of applications which depend on video compression. Data compression represents the enabling technology behind the multimedia and digital television revolution. In motion compensated lossy video compression the original video sequence is first split into three new sources of information, segmentation, motion and residual error. These three information sources are then quantized, leading to a reduced rate for their representation but also to a distorted reconstructed video sequence. After the decomposition of the original source into segmentation, mo� tion and residual error information is decided, the key remaining problem is the allocation of the available bits into these three sources of information. In this monograph a theory is developed which provides a solution to this fundamental bit allocation problem. It can be applied to all quad-tree-based motion com� pensated video coders which use a first order differential pulse code modulation (DPCM) scheme for the encoding of the displacement vector field (DVF) and a block-based transform scheme for the encoding of the displaced frame differ� ence (DFD). An optimal motion estimator which results in the smallest DFD energy for a given bit rate for the encoding of the DVF is also a result of this theory. Such a motion estimator is used to formulate a motion compensated interpolation scheme which incorporates a global smoothness constraint for the DVF.

  • Sales Rank: #15082329 in Books
  • Published on: 2010-02-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.20" h x .71" w x 6.00" l, .97 pounds
  • Binding: Paperback
  • 288 pages

About the Author
Aggelos K. Katsaggelos is a professor and holder of the AT&T chair in the Department of Electrical Engineering and Computer Science at Northwestern University, Illinois, where he also heads the Image and Video Processing Laboratory.

Most helpful customer reviews

3 of 3 people found the following review helpful.
Well written monograph
By A Customer
The authors explained very clearly the concept of rate distortion and its application to video compression. Compared to most information theory books, this book provides a more readable account of the application of rate distortion technique to video compression since the techniques are applied to real world examples. I certainly find this book enjoyable to read.

See all 1 customer reviews...

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Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa PDF
Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding, by Guido M. Schuster, Aggelos Katsa PDF