DocumentCode :
2616806
Title :
One adaptive binary arithmetic coding system based on context
Author :
Tang, Zhiwei
Author_Institution :
Third Res. Inst. Of Minist. Of Public Security, Shanghai, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
1440
Lastpage :
1443
Abstract :
This article introduces one adaptive binary arithmetic coding system based on context. H.264/AVC is a new video coding standard developed by ITU-T VCEG and ISO/IEC MPEG. It includes many new technology features, such as Multi-mode prediction, Flexible Macro block Ordering (FMO), integer transform, Universal Variable Length Codes (UVLC), Context-based Adaptive Binary Arithmetic Coding (CABAC), laying code, error restriction machine, etc. This paper introduced the Context-based Adaptive Binary Arithmetic Coding (CABAC) method presented in H.264/AVC And it makes a comparison between CABAC and UVLC. Context-based Adaptive Binary Arithmetic Coding (CABAC) is a new entropy coding method presented in H.264/AVC that is highly efficient in video coding. In the method, the probability of current symbol will be estimated by using a well designed context model, which is adaptive and can approach to the statistic characteristic. Then an arithmetic coding mechanism will largely reduce the redundancy including inter symbol redundancy. Compared with UVLC method in the prior standard, CABAC is complicated but efficiently reduce the bit rate.
Keywords :
arithmetic codes; binary codes; entropy; estimation theory; prediction theory; probability; transforms; variable length codes; video coding; H.264/AVC; context-based adaptive binary arithmetic coding; entropy coding method; error restriction machine; flexible macro block ordering; integer transform; intersymbol redundancy; laying code; multimode prediction; one adaptive binary arithmetic coding system; statistic characteristic; symbol probability estimation; universal variable length codes; video coding standard; Adaptive systems; Context; Context modeling; Encoding; Redundancy; Transform coding; Video coding; arithmetic coding; context modeling; entropy coding; video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5974482
Filename :
5974482
Link To Document :
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