• DocumentCode
    2541897
  • Title

    Low power design of H.264 CAVLC decoder

  • Author

    Lin, Heng-Yao ; Lu, Ying-Hong ; Liu, Bin-Da ; Yang, Jar-Ferr

  • Author_Institution
    Dept. of Electr. Eng., National Cheng Kung Univ., Tainan
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Lastpage
    2692
  • Abstract
    In this paper, a low power architecture for realizing the CAVLC decoder is proposed. In traditional VLC decoding algorithms, we could search a level in Huffman coding tree per operation. Therefore, the throughput rate is limited by the searching level. The CAVLC algorithm takes the advantage of the trend among AC coefficients in each block to predict the next codeword. The prediction mechanism can significantly improve the decoding efficiency. Hence, we suggested two efficient approaches, table partitioning and prefix predecoding, to reduce the power consumption in decoding the VLC codes. The proposed low-power CAVLD architecture achieves the real-time requirement for 720p HD (1280times720) format, while the clock is operated at 125 MHz. In simulations, the proposed architecture can reduce about 25% of power consumption in comparison to its counterpart without low power design
  • Keywords
    Huffman codes; adaptive codes; adaptive decoding; variable length codes; video coding; 125 MHz; H.264 CAVLC decoder; Huffman coding tree; VLC codes; VLC decoding algorithms; context-based adaptive variable length coding method; low power design; power consumption; prediction mechanism; prefix predecoding; table partitioning; Automatic voltage control; Classification tree analysis; Context modeling; Decoding; Digital video broadcasting; Energy consumption; Entropy coding; Hardware; Throughput; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1693178
  • Filename
    1693178