Overview
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.
Synopsis
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.
Booknews
In continuous media, such as MPEG movie files, temporal dimensions become extremely important. For example, although each frame in a movie may have different rates of compressability over time, the ability to maintain a constant image quality is damaged by compressing every frame as much as possible. In this monograph, Hoang (an algorithm development manager with iCompression) and Vitter (computer science, Duke U.) focus on the rate control of compressed video. Specifically, they present a new framework for allocating bits to the compression of pictures in an MPEG video sequence. They cast rate control as a resource allocation problem with continuous variables, nonlinear constraints, and a novel lexicographic optimality criterion that is motivated for uniform video quality. Analyzing the above framework, they construct polynomial-time algorithms for optimal bit rate control. They describe the implementation and results of the algorithms and discuss further modifications. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Editorials
In continuous media, such as MPEG movie files, temporal dimensions become extremely important. For example, although each frame in a movie may have different rates of compressability over time, the ability to maintain a constant image quality is damaged by compressing every frame as much as possible. In this monograph, Hoang (an algorithm development manager with iCompression) and Vitter (computer science, Duke U.) focus on the rate control of compressed video. Specifically, they present a new framework for allocating bits to the compression of pictures in an MPEG video sequence. They cast rate control as a resource allocation problem with continuous variables, nonlinear constraints, and a novel lexicographic optimality criterion that is motivated for uniform video quality. Analyzing the above framework, they construct polynomial-time algorithms for optimal bit rate control. They describe the implementation and results of the algorithms and discuss further modifications. Annotation c. Book News, Inc., Portland, OR (booknews.com)