• DocumentCode
    461660
  • Title

    An memory-efficient variable length decoding scheme for embedded MPEG-4 video decoders

  • Author

    Guo, Hongxing ; Xia, Xiaojian ; Sun, Weiping ; Zhou, Jingli ; Yu, Shengsheng

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    3
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    Variable length decoding (VLD) is inherent bit-serial operation and is the first stage of the whole video decoding task, the overall decoding system performance is determined by its throughput and efficiency. In this paper, a scheme for decoding of discrete cosine transform (DCT) coefficients is presented The DCT VLD tables are split into two different tables: the one with 0-3 leading zeros and the other with 4 or more leading zeros. The proposed VLD tables need less than 6K bytes memory space, and the decoding procedures are completed by applying numerical properties to codewords identification and symbol indexing. Compared with the direct indexing method, not only the memory space is reduced for symbol information, but also the code efficiency is improved by enabling compiling code with near mode. Experimental results show that the proposed solution can improve the VLD speed by 17-43%. This VLD method has been integrated into the developed embedded MPEG-4 video decoder successfully
  • Keywords
    decoding; discrete cosine transforms; embedded systems; video coding; DCT coefficients; bit-serial operation; codewords identification; direct indexing method; discrete cosine transform; embedded MPEG-4 video decoders; memory-efficient variable length decoding scheme; symbol indexing; symbol information reduction; Computer science; Decoding; Digital signal processing; Discrete cosine transforms; Indexing; MPEG 4 Standard; Sun; System performance; Table lookup; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.345794
  • Filename
    4129174