• DocumentCode
    1620067
  • Title

    An improved decoding method of coeff_token element for H.264 CAVLC decoder

  • Author

    Ya-Xuan Yu ; Gao-ming Du ; Duo-Li Zhang ; Yu-kun Song

  • Author_Institution
    Inst. of VLSI Design, Hefei Univ. of Technol., Hefei, China
  • fYear
    2009
  • Firstpage
    524
  • Lastpage
    528
  • Abstract
    In the design of CAVLC decoder, it is very important to reduce hardware overhead and power consumption. Since the decoding circuit of the coeff_token element costs a lot of logic resources, this paper proposed an improved decoding method of coeff_token element for H.264 CAVLC decoder. The major contribution is summarized as follows. First, a decoder module using combinational logic is developed for the high frequency code words appeared in video sequence to improve the decoding speed and the maximum frequency. Second, for the other code words, we store them in the memories. A new memory organization strategy is proposed to reduce the memory consumption. Experiment results show that, the memory consumption is about 42.4 % less than Yong Ho Moon et al. (2008) and 54.6% less than Xiong Quingqing (2007) by using the new strategy.
  • Keywords
    adaptive codes; combinational circuits; decoding; memory architecture; variable length codes; video codecs; H.264 CAVLC decoder; coeff_token element; combinational logic; decoding circuit; decoding speed; high frequency code words; logic resources; maximum frequency; memory organization strategy; video sequence; Arithmetic; Circuits; Costs; Decoding; Energy consumption; Frequency conversion; Hardware; Logic; Optimization methods; Very large scale integration; coeff_token; memory organizational strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Anti-counterfeiting, Security, and Identification in Communication, 2009. ASID 2009. 3rd International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-3883-9
  • Electronic_ISBN
    978-1-4244-3884-6
  • Type

    conf

  • DOI
    10.1109/ICASID.2009.5276992
  • Filename
    5276992