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Titlebook: Entropy Coders of the H.264/AVC Standard; Algorithms and VLSI Xiaohua Tian,Thinh M. Le,Yong Lian Book 2011 Springer-Verlag Berlin Heidelbe

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書目名稱Entropy Coders of the H.264/AVC Standard
副標(biāo)題Algorithms and VLSI
編輯Xiaohua Tian,Thinh M. Le,Yong Lian
視頻videohttp://file.papertrans.cn/312/311859/311859.mp4
概述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 suppleme
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Entropy Coders of the H.264/AVC Standard; Algorithms and VLSI  Xiaohua Tian,Thinh M. Le,Yong Lian Book 2011 Springer-Verlag Berlin Heidelbe
描述.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..
出版日期Book 2011
關(guān)鍵詞CABAC; UVB; Video Compression
版次1
doihttps://doi.org/10.1007/978-3-642-14703-6
isbn_softcover978-3-642-26570-9
isbn_ebook978-3-642-14703-6Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

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Review of CAVLC, Arithmetic Coding, and CABACansform residues and Exp-Golomb coding for other syntax elements [Wiegand03]. In the previous standards, entropy coding of residues is based on the forward zig-zag scanned run-length coding and fixed variable-length coding.
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Power Reduction Strategies, MBIST, and Design Performance Comparisonons including support for RDO have been implemented with more local register buffers and larger memory allocation. Thus, it is important to implement power reduction techniques wherever possible to reduce power consumption.
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https://doi.org/10.1007/978-3-663-11706-3In this book, the entropy coding tools adopted by the H.264/AVC video compression standard are presented in both algorithms and VLSI architectures.
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