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Home > Archive>Volume 27, Issue S2, 2016 >113-119
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Binarization Method Based on Binary Tree for Arithmetic Coding in Screen Content Coding
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National Natural Science Foundation of China (61572275)

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    Abstract:

    Binarization, possibility model and the entropy engine are the three stages of the arithmetic coding. In order to deal with the new syntax elements in a screen content codec, the binary tree base binarization decision method is proposed in this paper. The syntax probability distribution is derived, and then the bit probability distribution is calculated with the different binarization method. The binary tree method is used to get the optimal bit grouping. Experimental results show that the method proposed in this paper can improve the compression rate by 18.06% in average.

    Reference
    [1] Sze V, Budagavi M, Sullivan GJ. High Efficiency Video Coding (HEVC). Springer-Verlag, 2014.
    [2] Joint Video Team (JVT) of ITU-T VCEG and ISO/IEC MPEG. Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification. ITU-T Rec. H.264 and ISO/IEC 14496-10 AVC, 2003.
    [3] Gao W, Ma SW, Zhang L, Su L, Zhao DB. AVS video coding standard. In:Intelligent Multimedia Communication:Techniques and Applications. Berlin, Heidelberg:Springer-Verlag, 2010. 125-166.
    [4] Wu X, Memon N. Context-Based, adaptive, lossless image coding. IEEE Trans. on Communications, 1997,45(4):437-444.
    [5] Sullivan GJ, Ohm JR, Han WJ, Wiegand T. Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. on Circuits and Systems for Video Technology, 2012,22(12):1649-1668.
    [6] 毕厚杰,王健.新一代视频压缩编码标准-H.264/AVC.北京:清华大学出版社.2005
    [7] Richardson IEG,著;欧阳合,韩军,译.H.264和MPEG-4视频压缩:新一代多媒体视频编码技术.长沙:国防科技大学出版社,2004.
    [8] Yu W, He Y. A high performance CABAC decoding architecture. IEEE Trans. on Consumer Electronics, 2005,51(4):1352-1359.
    [9] Zhang P, Xie D, Gao W. Variable-Bin-Rate CABAC engine for H.264/AVC high definition real-time decoding. IEEE Trans. on Very Large Scale Integration Systems, 2009,17(3):417-426.
    [10] Sze V, Budagavi M. High throughput CABAC entropy coding in HEVC. IEEE Trans. on Circuits & Systems for Video Technology, 2012,22(12):1778-1791.
    [11] 祁跻.HEVC熵编码技术研究及并行算法设计[硕士学位论文].北京:北京邮电大学,2013.
    [12] Khurana G, Kassim AA, Chua TP, Mi MB. A pipelined hardware implementation of in-loop deblocking filter in H.264/AVC. IEEE Trans. on Consumer Electronics, 2006,52(2):536-540.
    [13] 谢强,郑世宝,于晓静.一种结合H.264/AVCCABAC熵编码器特征的视频选择性内容加密算法.上海交通大学学报,2008,42(10):1762-1766.
    [14] Zhou DJ, Zhou JJ, Fei W, Goto S. Ultra-High-Throughput VLSI Architecture of H.265/HEVC CABAC encoder for UHDTV Applications. IEEE Trans. on Circuits & Systems for Video Technology, 2015,25(3):497-507.
    [15] Feng LX, Tao P, Guang DX, Wen JT, Yang SQ. Pixel granularity template matching method for screen content lossless intra picture. In:Advances in Multimedia Information Processing-PCM 2014. Springer Int'l Publishing, 2014. 143-152.
    [16] Marpe D, Schwarz H, Wiegand T, et al. Entropy coding. US 20130027230 A1, 2013.
    [17] Wu D, Gao W, Hu MZ, Ji ZZ. An Exp-Golomb encoder and decoder architecture for JVT/AVS. In:Proc. of the Int'l Conf. on ASIC, Vol.2. 2003. 910-913.
    [18] Marpe D, Schwarz H, Wiegand T. Context-Based adaptive binary arithmetic coding in the H.264/AVC video compression standard. IEEE Trans. on Circuits & Systems for Video Technology, 2003,13(7):620-636.
    [19] Rubinstein RY, Kroese DP. The Cross-Entropy Method:A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning. New York:Springer-Verlag, 2004.
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陶品,姜楠,杨士强.屏幕编码中基于二叉树的算术编码二值化方法.软件学报,2016,27(S2):113-119

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History
  • Received:May 01,2016
  • Revised:October 18,2016
  • Online: January 10,2017
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