• 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