• DocumentCode
    2298921
  • Title

    New fast search algorithm for base layer of H.264 scalable video coding extension

  • Author

    Lima, Livio ; Alfonso, Daniele ; Pezzoni, Luca ; Leonardi, Riccardo

  • Author_Institution
    Univ. of Brescia, Brescia
  • fYear
    2007
  • fDate
    27-29 March 2007
  • Firstpage
    393
  • Lastpage
    393
  • Abstract
    In this contribution, a fast search motion estimation algorithm for H.264/AVC SVC (scalable video coding) base layer with hierarchical B-frame structure for temporal decomposition is presented and compared with fast search motion estimation algorithm in JSVM software, that is the reference software for H.264/AVC SVC. The proposed technique is a block-matching based motion estimation algorithm working in two steps, called Coarse search and Fine search. The Coarse search is performed for each frame in display order, and for each 16x16 macroblock chooses the best motion vector at half pel accuracy. Fine search is performed for each frame in encoding order and finds the best prediction for each block type, reference frame and direction, choosing the best motion vector at quarter pel accuracy using R-D optimization. Both Coarse and Fine Search test 3 spatial and 3 temporal predictors, and add to the best one a set of updates.
  • Keywords
    audio coding; motion estimation; search problems; video coding; H.264 scalable video coding; JSVM software; R-D optimization; audio video coding; block-matching; coarse search; fast search algorithm; fine search; hierarchical B-frame structure; motion estimation algorithm; temporal decomposition; Automatic voltage control; Displays; Encoding; Helium; Motion estimation; Performance loss; Software algorithms; Static VAr compensators; Testing; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2007. DCC '07
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2791-4
  • Type

    conf

  • DOI
    10.1109/DCC.2007.58
  • Filename
    4148794