Video compression is the enabling technology behind many cutting-edge business and Internet applications, including video-conferencing, video-on-demand, and digital cable TV. Coauthored by internationally recognized authorities on the subject, this book takes a close look at the essential tools of video compression, exploring some of the most promising algorithms for converting raw data to a compressed form.
Table of Contents
Preface. Acknowledgments. Acronyms. Preliminaries. Lexicographic Bit Allocation Framework. Optimal Bit Allocation under CBR Constraints. Optimal Bit Allocation under VBR Constraints. Implementation of Lexicographic Bit Allocation. A More Efficient Dynamic Programming Algorithm. Real--Time VBR Rate Control. Extensions of the Lexicographic Framework. References. About the Authors. Index.
DZUNG TIEN HOANG is a video algorithm development manager at iCompression, a subsidiary of Globespan. With a PhD from Brown University, he has also held positions at Digital Video Systems and Sony Electronics. JEFFREY SCOTT VITTER is the Gilbert, Louis, and Edward Lehrman Professor of Computer Science at Duke University. With a PhD from Stanford University, he is a National Science Foundation Presidential Young Investigator, a Fulbright Scholar, a Guggenheim Fellow, an IBM Faculty Development Awardee, and a Fellow of both the ACM and IEEE. He also holds several patents in the fields of external sorting, prediction, and approximate data structures.