• DocumentCode
    3148419
  • Title

    A novel fast two step sub-pixel motion estimation algorithm in HEVC

  • Author

    Dai, Wei ; Au, Oscar C. ; Pang, Chao ; Sun, Lin ; Zou, Ruobing ; Li, Sijin

  • Author_Institution
    Dept. of Electron. & Comput. Eng., HKUST, Kowloon, China
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1197
  • Lastpage
    1200
  • Abstract
    Motion estimation (ME) is one of the most time consuming parts in video coding standard. As fast integer-pixel ME algorithm becoming more and more powerful, it is important to develop fast sub-pixel ME algorithm since the computational complexity of sub-pixel ME compared to integer-pixel ME has become relatively significant. In this paper, a novel fast sub-pixel ME algorithm is proposed. This algorithm first approximates the error surface of the sub-pixel position by a second order function and predicts the minimum point by minimizing the function at half-pixel accuracy. Then another second order approximation within a smaller area which is determined by the previous step is modeled to predict the best sub-pixel position. Experimental results show that the proposed method can reduce the sub-pixel search points significantly with negligible quality degradation.
  • Keywords
    approximation theory; computational complexity; motion estimation; prediction theory; video coding; HEVC; best subpixel position prediction; computational complexity; error surface approximation; integer-pixel ME algorithm; quality degradation; second order approximation; second order function; subpixel motion estimation algorithm; subpixel search point reduction; video coding standard; Accuracy; Approximation algorithms; Encoding; Motion estimation; Prediction algorithms; Surface treatment; Vectors; block-based motion estimation; fast motion estimation; sub-pixel accuracy; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288102
  • Filename
    6288102