• DocumentCode
    248126
  • Title

    An smpUMHexagonS-based motion estimation algorithm for heterogeneous architectures

  • Author

    Garcia, Alvaro ; Rodriguez-Sanchez, Rafael ; Martinez, Jose Luis

  • Author_Institution
    Albacete Res. Inst. of Inf., Univ. of Castilla-La Mancha, Albacete, Spain
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1243
  • Lastpage
    1247
  • Abstract
    Simplified Unsymmetrical Multi-Hexagon Search is one of the faster motion estimation algorithms for video coding available in the literature. It achieves a very good tradeoff between computational complexity and coding efficiency. In fact, the H.264/AVC reference software includes it, and it could easily be extended to the new video coding standard: High Efficiency Video Coding. This paper proposes a parallel algorithm which implements the Simplified Unsymmetrical Multi-Hexagon motion search in a graphic processing unit which serves as co-processor for the central processing unit. The results show a negligible rate distortion drop with a speed-up of up to 8× for the motion estimation module compared to the sequential version. Furthermore, the proposed algorithm is evaluated against some related proposals available in the literature, outperforming all of them in terms of time reduction as well as coding efficiency.
  • Keywords
    graphics processing units; motion estimation; parallel algorithms; video coding; H.264/AVC reference software; central processing unit; coding efficiency; computational complexity; coprocessor; graphic processing unit; heterogeneous architectures; high efficiency video coding; parallel algorithm; rate distortion drop; simplified unsymmetrical multihexagon motion search; smpUMHexagonS-based motion estimation algorithm; time reduction; video coding standard; Encoding; Graphics processing units; Kernel; Motion estimation; Proposals; Software algorithms; Video coding; GPU; H.264/AVC; inter prediction; smpUMHexagonS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025248
  • Filename
    7025248