Adaptive Binarization for Arithmetic Coding in Video Compression

Rui  Dai; Li  Yu; Xin  Jin; Chunhui Cui; Guangxi  Zhu

1st International ICST Conference on Communications and Networking in China

Research Article

Adaptive Binarization for Arithmetic Coding in Video Compression

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2006.344888,
    author={Rui  Dai and  Li  Yu and Xin  Jin and  Chunhui Cui and Guangxi  Zhu},
    title={Adaptive Binarization for Arithmetic Coding in Video Compression},
    proceedings={1st International ICST Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2007},
    month={4},
    keywords={},
    doi={10.1109/CHINACOM.2006.344888}
}

Rui Dai
Li Yu
Xin Jin
Chunhui Cui
Guangxi Zhu
Year: 2007
Adaptive Binarization for Arithmetic Coding in Video Compression
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2006.344888

Rui Dai¹, Li Yu¹, Xin Jin¹, Chunhui Cui¹, Guangxi Zhu¹

1: Dept. of Electronics & Information Engineering, Huazhong University of Science & Technology, Wuhan, P. R. China 430074

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.

Published: 2007-04-10
Publisher: IEEE

: http://dx.doi.org/10.1109/CHINACOM.2006.344888