DocumentCode
2313817
Title
Adaptive Binarization for Arithmetic Coding in Video Compression
Author
Dai, Rui ; Yu, Li ; Jin, Xin ; Cui, Chunhui ; Zhu, Guangxi
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol.
fYear
2006
fDate
25-27 Oct. 2006
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose an adaptive binarization scheme for arithmetic coding in video compression. This scheme is applied to encode the number of nonzero coefficients in transform blocks. Based on the observation that the numbers of nonzero coefficients in neighboring blocks are highly correlated, the number of nonzero coefficients of a block is specifically binarized according to the numbers of nonzero coefficients of its top and left neighbors. In addition, a novel mapping rule is designed to map the binarized syntax elements to code numbers, according to the observed features of probability distribution. Experimental results show that compared to the conventional scheme, this scheme can reduce decoding complexity with comparable coding efficiency.
Keywords
arithmetic codes; binary codes; data compression; decoding; statistical distributions; video coding; adaptive binarization scheme; arithmetic coding; binarized syntax elements; decoding complexity; nonzero coefficients; probability distribution; video compression; Arithmetic; Automatic voltage control; Computational complexity; Decoding; Entropy coding; Partitioning algorithms; Probability distribution; Statistical distributions; Video coding; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2006. ChinaCom '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0463-0
Electronic_ISBN
1-4244-0463-0
Type
conf
DOI
10.1109/CHINACOM.2006.344888
Filename
4149853
Link To Document