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Rate-Distortion Based Video Compression

Optimal Video Frame Compression and Object Boundary Encoding

  • Book
  • © 1997

Overview

Authors:
  1. Guido M. Schuster

    1. U.S. Robotics, Skokie, USA

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  2. Aggelos K. Katsaggelos

    1. Northwestern University, Evanston, USA

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Introduction

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 1-12

  3. Review of Lossy Video Compression

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 13-42

  4. Background

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 43-72

  5. General Contributions

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 73-122

  6. Optimal Motion Estimation and Motion Compensated Interpolation for Video Compression

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 123-150

  7. A Video Compression Scheme with Optimal Bit Allocation Between Displacement Vector Field and Displaced Frame Difference

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 151-185

  8. A Video Compression Scheme with Optimal Bit Allocation Among Segmentation, Motion and Residual Error

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 187-216

  9. An Optimal Polygonal Boundary Encoding Scheme

    • Guido M. Schuster, Aggelos K. Katsaggelos
    Pages 217-266

  10. Back Matter

    Pages 267-288
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Keywords

About this book

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.

Authors and Affiliations

  • U.S. Robotics, Skokie, USA

    Guido M. Schuster

  • Northwestern University, Evanston, USA

    Aggelos K. Katsaggelos

Bibliographic Information

  • Book Title: Rate-Distortion Based Video Compression

  • Book Subtitle: Optimal Video Frame Compression and Object Boundary Encoding

  • Authors: Guido M. Schuster, Aggelos K. Katsaggelos

  • DOI: https://doi.org/10.1007/978-1-4757-2566-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1997

  • Hardcover ISBN: 978-0-7923-9850-9Published: 31 December 1996

  • Softcover ISBN: 978-1-4419-5172-4Published: 07 December 2010

  • eBook ISBN: 978-1-4757-2566-7Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: XX, 288

  • Topics: Image Processing and Computer Vision, Multimedia Information Systems, Signal, Image and Speech Processing

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