• DocumentCode
    2807609
  • Title

    New Sorting Technique on Partial Distortion Search Using Two Bit-Transform for Fast Optimal Motion Estimation

  • Author

    Chen, Hung-Ming ; Chen, Po-Hung ; Ciou, Jian-Hong

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taichung Inst. of Technol., Taichung, Taiwan
  • fYear
    2011
  • fDate
    21-23 Nov. 2011
  • Firstpage
    276
  • Lastpage
    279
  • Abstract
    This paper proposes a novel two bit-transform sorting technique to get a better matching order on the loss less partial distortion search (PDS) algorithm. By sorting the level difference sets calculated from the approximate distortion between the two-bit transformed reference block and candidate block, the matching order can be computed to apply to the typical PDS. To reduce the checked pixels further, the initial minimum sum of absolute difference (SAD) is derived from the cardinality of the level difference sets among candidate blocks. The experimental results indicate the proposed algorithm reduces computational complexity by about 27% on average compared with the typical PDS in terms of the average number of the checked pixels for night benchmark sequences.
  • Keywords
    computational complexity; image matching; motion estimation; nonlinear distortion; search problems; sorting; candidate block; computational complexity; fast optimal motion estimation; partial distortion search algorithm; sum of absolute difference; two bit-transform sorting technique; two-bit transformed reference block; Algorithm design and analysis; Approximation algorithms; Computational complexity; Handheld computers; Motion estimation; Sorting; Vectors; block matching; fast full search; motion estimation; partial distortion search; video encoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot, Vision and Signal Processing (RVSP), 2011 First International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-1881-6
  • Type

    conf

  • DOI
    10.1109/RVSP.2011.24
  • Filename
    6115001