• DocumentCode
    2654895
  • Title

    Analysis of adaptive algorithm to power aware design for H.264/AVC integer motion estimation engine in HDTV application

  • Author

    Huang, Yiqing ; Ikenaga, Takeshi

  • Author_Institution
    Inf. Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2009
  • fDate
    20-23 Oct. 2009
  • Firstpage
    163
  • Lastpage
    166
  • Abstract
    In this paper, we contribute two reconfigurable integer motion estimation (IME) architectures (namely RSADT and RPPSAD) based on adaptive algorithm. Firstly, based on the pixel difference analysis, the spatial redundancy is further exploited and three subsampling patterns are selected adaptively. Secondly, in order to keep full data reuse, we propose an architecture level data organization for RSADT architecture. For RPPSAD, we apply pixel classification and memory organization to keep full data reuse. An interactive data loading scheme is proposed to reduce power dissipation. Experiments show that, with some extra hardware, our RSADT can averagely achieve 65.86% reduction in processing time; as for RPPSAD, it can save 25.4% to 39.8% power dissipation when processing typical HDTV720p sequences.
  • Keywords
    high definition television; image classification; motion estimation; reconfigurable architectures; storage management; video coding; H.264/AVC integer motion estimation; HDTV application; RPPSAD architecture; RSADT architecture; adaptive algorithm; architecture level data organization; interactive data loading; memory organization; pixel classification; pixel difference analysis; power aware design; power dissipation; reconfigurable architecture; spatial redundancy; Adaptive algorithm; Algorithm design and analysis; Automatic voltage control; Engines; HDTV; Hardware; Motion estimation; Pattern analysis; Power dissipation; Reconfigurable architectures; Adaptive Algorithm; H.264/AVC; Reconfigurable Architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ASIC, 2009. ASICON '09. IEEE 8th International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-1-4244-3868-6
  • Electronic_ISBN
    978-1-4244-3870-9
  • Type

    conf

  • DOI
    10.1109/ASICON.2009.5351583
  • Filename
    5351583