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.
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;
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
DOI :
10.1109/CHINACOM.2006.344888