Authors:
- Opens a way to impressive compression performance and a new multimedia applications
- Presents the Design and Architecture of a Context Adaptive Binary Arithmetic Coding(CABAC) Encoder
- Includes supplementary material: sn.pub/extras
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (9 chapters)
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Front Matter
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Background on Video Coding and Entropy Coding
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Front Matter
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Design of a Typical Entropy Coder
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Front Matter
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Back Matter
About this book
This book presents a collection of algorithms and VLSI architectures of entropy (or statistical) codecs of recent video compression standards, with focus on the H.264/AVC standard. For any visual data compression scheme, there exists a combination of two, or all of the following three stages: spatial, temporal, and statistical compression. General readers are first introduced with the various algorithms of the statistical coders. The VLSI implementations are also reviewed and discussed. Readers with limited hardware design background are also introduced with a design methodology starting from performance-complexity analyses to software/hardware co-simulation. A typical design of the Contextbased Adaptive Binary Arithmetic Coding (CABAC) encoder is also presented in details. To support System-on-Chip design environment, the CABAC design is wrapped with a SoC-based Wishbone system bus interface.
Authors and Affiliations
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Dept. Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore
Xiaohua Tian, Yong Lian
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St-Laurent, Canada
Thinh M. Le
Bibliographic Information
Book Title: Entropy Coders of the H.264/AVC Standard
Book Subtitle: Algorithms and VLSI Architectures
Authors: Xiaohua Tian, Thinh M. Le, Yong Lian
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-642-14703-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-14702-9Published: 28 October 2010
Softcover ISBN: 978-3-642-26570-9Published: 01 December 2012
eBook ISBN: 978-3-642-14703-6Published: 17 October 2010
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XXIV, 180
Number of Illustrations: 81 b/w illustrations