• DocumentCode
    3518870
  • Title

    Cache-based integer motion/disparity estimation for quad-HD H.264/AVC and HD multiview video coding

  • Author

    Tsung, Pei-Kuei ; Chen, Wei-Yin ; Ding, Li-Fu ; Chien, Shao-Yi ; Chen, Liang-Gee

  • Author_Institution
    DSP/IC Design Lab., Nat. Taiwan Univ., Taipei
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2013
  • Lastpage
    2016
  • Abstract
    To provide more vivid perception, more and more advanced features, like the 4ktimes2k resolution and the multiview functionality, are emerging for TV. For a multiview video coding (MVC) encoder, motion and disparity estimation (ME/DE) take at least half the hardware requirement. To solve these challenges, a cache-based integer ME/DE algorithm is proposed. With a cache memory as the search window buffer, a predictor-centered ME/DE algorithm is presented. The search range can be reduced to plusmn16 pixels with less than 0.1 dB quality drop compared with full search algorithm. Based on this algorithm, an integer ME/DE chip design is realized. It can reduce 82% on-chip SRAM and 39% system bandwidth. Moreover, the search candidate requirement is also reduced by 79%. As the result, an ME/DE chip design for 4ktimes2k quad-HD H.264 and HDTV MVC is implemented.
  • Keywords
    SRAM chips; cache storage; high definition television; motion estimation; video coding; H.264/AVC; HD multiview video coding; HDTV; cache memory; cache-based integer motion/disparity estimation; disparity estimation; motion estimation; multiview functionality; on-chip SRAM; Automatic voltage control; Cache memory; Chip scale packaging; Hardware; High definition video; Motion estimation; Random access memory; System-on-a-chip; TV; Video coding; H.264; Multiview video coding; cache memory; motion estimation; quad high definition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960008
  • Filename
    4960008