• DocumentCode
    3334945
  • Title

    Adaptive precision motion estimation for HEVC coding

  • Author

    Blasi, Saverio G. ; Zupancic, Ivan ; Izquierdo, Ebroul ; Peixoto, Eduardo

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    Most video coding standards, including the state-of-the-art High Efficiency Video Coding (HEVC), make use of sub-pixel Motion Estimation (ME) with Motion Vectors (MV) at fractional precisions to achieve high compression ratios. Unfortunately, sub-pixel ME comes at very high computational costs due to the interpolation step and additional motion searches. In this paper, a fast sub-pixel ME algorithm is proposed. The MV precision is adaptively selected on each block to skip the half or quarter precision steps when not needed. The algorithm bases the decision on local features, such as the behaviour of the residual error samples, and global features, such as the amount of edges in the pictures. Experimental results show that the method reduces total encoding time by up to 17.6% compared to conventional HEVC, at modest efficiency losses.
  • Keywords
    data compression; motion estimation; vectors; video codecs; video coding; HEVC coding; MV; adaptive precision motion estimation; high efficiency video coding; motion vectors; subpixel ME algorithm; subpixel motion estimation; video coding standards; video compression ratios; Algorithm design and analysis; Encoding; Libraries; Vehicles; HEVC; Sub-Pixel Motion Estimation; Video Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2015
  • Conference_Location
    Cairns, QLD
  • Type

    conf

  • DOI
    10.1109/PCS.2015.7170064
  • Filename
    7170064