• DocumentCode
    3413470
  • Title

    Joint algorithm/code-level optimization of H.264 video decoder for mobile multimedia applications

  • Author

    Huang, Ting-Yu ; Jian, Guo-An ; Chu, Jui-Chin ; Su, Ching-Lung ; Guo, Jiun-In

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2189
  • Lastpage
    2192
  • Abstract
    In this paper, we propose a joint algorithm/code-level optimization scheme to make it feasible to perform real-time H.264/AVC video decoding software on ARM-based platform for mobile multimedia applications. In the algorithm-level optimization, we propose various techniques like fast interpolation scheme, zero-skipping technique for texture decoding, fast boundary strength decision for in-loop filtering, and pattern matching algorithm for CAVLD. In the code-level optimization, we propose the design techniques on minimizing memory access and branch times. The experimental result shows that we have reduced the complexity of H.264 video decoder up to 93% as compared to the reference software JM9.7. The optimized H.264 video decoder can achieve the QCIF@30Hz video decoding on an ARM9 processor when operating at 120MHz clock.
  • Keywords
    microprocessor chips; multimedia communication; optimisation; video codecs; video coding; ARM-based platform; ARM9 processor; H.264 video decoder; H.264/AVC video decoding software; algorithm-level optimization; code-level optimization scheme; mobile multimedia applications; Application software; Automatic voltage control; Decoding; Design optimization; Filtering algorithms; Interpolation; Matched filters; Pattern matching; Software algorithms; Software performance; Optimization methods; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518078
  • Filename
    4518078