• DocumentCode
    2289039
  • Title

    High Efficiency Architecture of Fast Block Motion Estimation with Real-Time QFHD on H.264 Video Coding

  • Author

    Tsai, Tsung-Han ; Pan, Yu-Nan

  • fYear
    2008
  • fDate
    15-17 Dec. 2008
  • Firstpage
    124
  • Lastpage
    129
  • Abstract
    The H.264/AVC inter-prediction is performed for variable block-size motion estimation (VBSME) such as 16times16, 16times8, 8times16, 8times8, 8times4, 4times8 and 4times4, it cause the high complexity for H.264 motion estimation (ME). This investigation develops an architecture for a combined fast motion estimation algorithm with edge information mode decision (EIMD) and predict hexagon search (PHS). Compared with other popular ME architecture, the proposed architecture has a large search range and low processing frequency. For the general specification of SDTV (720times480) with 4 reference frames, search range 256times256, the proposed architecture needs only 18.66 MHz. For the very high specification of QFHD (3840times2160) with 1 reference frame, search range 256times256, the proposed architecture only requires 112 MHz. The gate count of the proposed architecture is 300 K, and the memory usage is 12.6 KB.
  • Keywords
    computational geometry; edge detection; image matching; motion estimation; search problems; video coding; H.264 video coding; H.264/AVC inter-prediction; edge information mode decision; fast block matching algorithm; frequency 112 MHz; frequency 18.66 MHz; predict hexagon search; real-time QFHD; reference frame; variable block-size motion estimation; Automatic voltage control; Computer architecture; Frequency; Hardware; IEC; ISO; Motion estimation; Transform coding; Video coding; Video compression; H.264; QFHD; fast block matching algorithm; high efficiency architecture; motion estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-0-7695-3454-1
  • Electronic_ISBN
    978-0-7695-3454-1
  • Type

    conf

  • DOI
    10.1109/ISM.2008.98
  • Filename
    4741157