• DocumentCode
    2425983
  • Title

    Block based parallel motion estimation using programmable graphics hardware

  • Author

    Kung, M.C. ; Au, Oscar C. ; Wong, P.H.W. ; Liu, Chun Hung

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
  • fYear
    2008
  • fDate
    7-9 July 2008
  • Firstpage
    599
  • Lastpage
    603
  • Abstract
    In this paper, we propose a graphics processing unit (GPU)-based motion estimation for H.264/AVC by rearranging the encoding order of 4times4 blocks. Previous research by Kelly and Kokaram (2003) and Lin et al. (2006) assume no dependency among adjacent blocks, which is not true for H.264/AVC. The proposed method not only overcomes the dependency problem, but also can be used for both full search and fast search. Experimental results show that our implementation is forty five faster than our SDVTD optimized CPU implementation.
  • Keywords
    computer graphic equipment; data compression; encoding; motion estimation; video coding; H.264 AVC; block based parallel motion estimation programmable graphics hardware; dependency problem; encoding order rearrangement; fast search; full search; graphics processing unit; video compression; Automatic voltage control; Central Processing Unit; Computer graphics; Cost function; Encoding; Geometry; Hardware; Motion estimation; Pipelines; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1723-0
  • Electronic_ISBN
    978-1-4244-1724-7
  • Type

    conf

  • DOI
    10.1109/ICALIP.2008.4590176
  • Filename
    4590176