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基于区间划分的快速重归一化算法 被引量:1

Fast renormalization algorithm based on interval division
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摘要 重归一化是H.264/AVC标准二进制算术编码器的一个关键部分,在算术编码器中,重归一化计算量很大,严重制约了算术编码器的效率;同时重归一化算法是一个按位操作过程,很多情况下通过运行一次重归一化算法并不能完成重归一化操作,因此消耗了大量编码时间。为了减少编码时间,针对影响重归一化速度的瓶颈问题,提出了一种基于区间划分的快速重归一化算法。根据重归一化循环次数提出六种不同的区间划分标准来去除H.264/AVC重归一化算法中消耗大量编码时间的按位操作过程;通过去除重归一化的循环过程,使得算法在单位时间内向编码流中输出更多的比特数,能够更好地满足实时性的要求。实验表明,快速重归一化算法在原重归一化算法基础上减少了21.9%-26.7%的重归一化次数和14.5%~33.7%的编码时间。 Renormalization is a key part of BAC in H. 264/AVC standard. In BAC, the renormalization has seriously constrained the efficiency of the arithmetic coding because its computational complexity is high. Renormalization algorithm is a bitwise-operation procedure. In many cases, the renormalization operation can' t be finished by running renormalization algorithm for one time, so it is consuming a lot of coding time. In order to reduce the coding time, this paper introduced a fast renormalization algorithm based on interval division to deal with the bottleneck problem in renormalization. According to the number of cycles in renormalization loop, this fast renormalization algorithm introduced six different interval division standards to replace time-consuming, bitwise-operation procedure. At the same time, through removing the cycle of renormalization procedure, the algorithm could output more bits to coding stream in unit time and better meet the requirements of real-time. Experiment results indicate that the proposed fast renormalization algorithm enables reduce the number of renormalization algorithm by 21.9% 26.7% and their corresponding run time by 14.5% -33.7%.
出处 《计算机应用研究》 CSCD 北大核心 2010年第2期439-442,共4页 Application Research of Computers
基金 国家自然科学基金重大资助项目(90718034) 中南大学博士后基金资助项目
关键词 二进制算术编码器 重归一化 按位操作 区间划分 binary arithmetic coder (BAC) renormalization bitwise-operation interval division
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参考文献9

  • 1MARPE D, SCHWARZ H, WIEGAND T. Context-based adaptive binary arithmetic coding in the H. 264/AVC video compression standard [J]. IEEE Yrans on Circuits and Systems for Video Technology, 2003, 13(?) :620-636.
  • 2OSTERMANN J, BORMANS J, LIST P, ,et al. Video coding with H.264/AVC: tools, performance, and complexity[J]. IEEE Trans on Circuits and Systems for Video Technology, 2004, 4( 1 ):7-28.
  • 3ITU-T.ITU-TH.264建议书[S].2005.
  • 4曹斌,李云松,刘凯,邓家先.JPEG2000中MQ编码器的VLSI结构[J].西安电子科技大学学报,2004,31(5):714-718. 被引量:4
  • 5MIN B, YOON S, RA J, et al. Enhanced renorma lization algorithm in MQ-Coder of JPEG2000[ C]//Proc of IEEE International Symposium on Information Technology Convergence. Washington DC:IEEE Computer Society, 2007:213- 216.
  • 6JIA Yun-wei, YANG En-hui. A greedy renormalization method for arithmetic coding[ J]. IEEE Trans on Communications, 2007, 55 (8) :1494- 1503.
  • 7Reference software of JVT. JM10.2 [ M/OL]. 2004 [2009-04-10]. http ://bs. hhi. de/suehring/tml/download/jm10.2, zip.
  • 8SALOMON D, MOTTA G, BRYANT D. Data compression: the complete reference[M]. Berlin:Springer, 2009.
  • 9黄菠,贾蓉,樊丰.H.264中的CABAC熵编码研究[J].中国有线电视,2007(8):758-762. 被引量:4

二级参考文献7

  • 1Howard P G,Vitter J S.Analysis of Arithmetic Coding for Data Compression[J].Information Processing and management,1992,28(6): 749-763.
  • 2ISO/IEC JTC 1/SC 29/WG1 N1890.JPEG2000 Part Ⅰ Final International Standard(Corrected and Formatted)[S].2000.
  • 3Nelson M R.Arithemtic Coding+Statistical Modeling=Data Compression[DB/OL].http://dogma.net/markn/articles/arith/part1.htm,2003-09-01.
  • 4Wiseman Y.A Pipeline Chip for Quasi Arithmetic Coding[J].IEICE Trans on Fundamentals,2001,E84-A(4): 1034-1041.
  • 5Moffat A, R M Neal, I H Witten. Arithmetic Coding Revisited [J]. ACM Transactions on Information Systems, 1998,16 (3) :256 - 294.
  • 6ISO/IEC 14496 - 10,2005 (E) Rec H. 264 (E)[S].
  • 7陈军,吴成柯,李云松.基于零树结构的感兴趣区图像内嵌编码算法[J].西安电子科技大学学报,2002,29(3):343-346. 被引量:28

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