• DocumentCode
    484978
  • Title

    A Fast Motion Estimation Algorithm Based on Diamond and Line/Triangle Search Patterns

  • Author

    Cheng, Yun ; Wu, Min

  • Author_Institution
    Dept. of Commun. & Control Eng., Central South Univ., Loudi
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    537
  • Lastpage
    542
  • Abstract
    Based on the directional characteristic of SAD (sum of absolute difference) distribution and the center-biased characteristic of motion vectors, a fast BMA (block-matching motion estimation algorithm), DLTS (diamond line/triangle search), is proposed in this paper. DLTS employs line search pattern (LP) or triangle search pattern (TP) adaptively according to the distance between the MBD (minimum block distortion) and SMBD (second MBD) points to locate the best matching block with large motion vector, and diamond search pattern(DP) to refine the motion vector. Although the proposed DLTS can also be trapped in local minima, the experimental results show that it is faster than DTS (diamond triangle search) and its encoding efficiency is almost the same as that of DTS.
  • Keywords
    image matching; motion estimation; search problems; block-matching motion estimation algorithm; center-biased characteristic of motion vectors; diamond line-triangle search; diamond search pattern; diamond triangle search; fast motion estimation algorithm; line search pattern; line-triangle search patterns; minimum block distortion; sum of absolute difference; triangle search pattern; Control engineering; Encoding; ISO standards; Information science; Motion estimation; Pattern matching; Predictive coding; Shape; Standards organizations; Video coding; Motion estimation; Motion vector; Search patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783646
  • Filename
    4783646