Image and Video Compression for Multimedia Engineering
Résumé
The tutorial provides a solid, comprehensive understanding of the fundamentals and algorithms of coding and details all of the relevant international coding standards. It presents recent findings on defining methods for generating high quality video bitstreams. The authors present new research results and cover emerging technologies.
With the growing popularity of the applications that use
large amounts of visual data, image and video coding is an
active and dynamic field. Coverage of both image and video
compression in this book yields a unique, self-contained
reference, appropriate for all related professions. Image
and Video Compression for Multimedia Engineering builds a
basis for future study, research, and development.
Contents
- Sect. I Fundamentals
- Ch. 1 Introduction
- Ch. 2 Quantization
- Ch. 3 Differential Coding
- Ch. 4 Transform Coding
- Ch. 5 Variable-Length Coding: Information Theory Results (II)
- Ch. 6 Run-Length and Dictionary Coding: Information Theory Results (III)
- Sect. II Still Image Compression
- Ch. 7 Still Image Coding Standard: JPEG
- Ch. 8 Wavelet Transform for Image Coding
- Ch. 9 Nonstandard Image Coding
- Sect. III Motion Estimation and Compression
- Ch. 10 Motion Analysis and Motion Compensation
- Ch. 11 Block Matching
- Ch. 12 PEL Recursive Technique
- Ch. 13 Optical Flow
- Ch. 14 Further Discussion and Summary on 2-D Motion Estimation
- Sect. IV Video Compression
- Ch. 15 Fundamentals of Digital Video Coding
- Ch. 16 Digital Video Coding Standards - MPEG-1/2 Video
- Ch. 17 Application Issues of MPEG-1/2 Video Coding
- Ch. 18 MPEG-4 Video Standard: Content-Based Video Coding
- Ch. 19 ITU-T Video Coding Standards H.261 and H.263
- Ch. 20 MPEG System - Video, Audio, and Data Multiplexing
- Index
L'auteur - Yun Q. Shi
has been a professor with the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology, Newark, NJ since 1987. Before that he obtained his B.S. degree in Electronic Engineering and M.S. degree in Precision Instrumentation from the Shanghai Jiao Tong University, Shanghai, China and his Ph.D. in Electrical Engineering from the University of Pittsburgh. His research interests include motion analysis from image sequences, video coding and transmission, digital image watermarking, computer vision, applications of digital image processing and pattern recognition to industrial automation and biomedical engineering, robust stability, spectral factorization, multidimensional systems and signal processing.
L'auteur - Huifang Sun
received the B.S. degree in Electrical Engineering from Harbin Engineering Institute, Harbin, China, and the Ph.D. in Electrical Engineering from University of Ottawa, Ottawa, Canada. In 1986 he jointed Fairleigh Dickinson University, Teaneck, NJ as an assistant professor and was promoted to an associate professor in electrical engineering. From 1990 to 1995, he was with the David Sarnoff Research Center (Sarnoff Corp.) in
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Chapman and Hall / CRC |
| Auteur(s) | Yun Q. Shi, Huifang Sun |
| Parution | 01/02/2000 |
| Nb. de pages | 448 |
| Couverture | Relié |
| Intérieur | Noir et Blanc |
| EAN13 | 9780849334917 |
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