Standard Codecs: Image Compression to Advanced Video Coding / Edition 2

Standard Codecs: Image Compression to Advanced Video Coding / Edition 2

by Mohammed Ghanbari
ISBN-10:
0852967101
ISBN-13:
9780852967102
Pub. Date:
06/28/2003
Publisher:
The Institution of Engineering and Technology
ISBN-10:
0852967101
ISBN-13:
9780852967102
Pub. Date:
06/28/2003
Publisher:
The Institution of Engineering and Technology
Standard Codecs: Image Compression to Advanced Video Coding / Edition 2

Standard Codecs: Image Compression to Advanced Video Coding / Edition 2

by Mohammed Ghanbari

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Overview

This book discusses the growth of digital television technology and the revolution in image and video compression (such as JPEG2000, broadcast TV, video phone), highlighting the need for standardisation in processing static and moving images and their exchange between computer systems. The book gives an authoritative explanation of picture and video coding algorithms, working from basic principles through to the advanced video compression systems now being developed. One of its main objectives is to describe the reasons behind the introduction of a standard codec for a specific application and its chosen parameter.


Product Details

ISBN-13: 9780852967102
Publisher: The Institution of Engineering and Technology
Publication date: 06/28/2003
Series: IEE Telecommunications Series , #44
Pages: 428
Product dimensions: 6.12(w) x 9.25(h) x (d)

Table of Contents

Preface to first edition
Preface to second edition
Preface to third edition
1 History of video coding
2 Video basics
3 Principles of video compression
4 Subband and wavelet
5 Coding of still pictures (JPEG and JPEG2000)
6 Coding for videoconferencing (H.261)
7 Coding of moving pictures for digital storage media (MPEG-1)
8 Coding of high-quality moving pictures (MPEG-2)
9 Video coding for low bit rate communications (H.263)
10 Content-based video coding (MPEG-4 visual)
11 Advanced video coding (H.264)
12 Content description, search and delivery (MPEG-7 and MPEG-21)
Appendix A A ‘C’ program for the fast discrete cosine transform
Appendix B Huffman tables for the DC and AC coefficients of the JPEG baseline encoder
Appendix C Huffman tables for quad tree shape coding
Appendix D Frequency tables for the CAE encoding of binary shapes
Appendix E Channel error/packet loss model
Appendix F Solutions to the problems
Appendix G Glossary of acronyms
Index

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