• DocumentCode
    2246201
  • Title

    Enhanced Partial Distortion Sorting Fast Motion Estimation Algorithm for Low-Power Applications

  • Author

    Song, Yang ; Ikenaga, Takeshi ; Goto, Satoshi ; Liu, Zhenyu

  • Author_Institution
    Waseda Univ., Kitakyushu
  • fYear
    2006
  • fDate
    4-7 Dec. 2006
  • Firstpage
    1236
  • Lastpage
    1239
  • Abstract
    This paper presents an enhanced partial distortion sorting (EPDS) fast motion estimation (ME) algorithm which is based on the previous partial distortion sorting (PDS) algorithm. Different to PDS which has fixed parameters, in the EPDS algorithm, these parameters are adaptively adjusted to further reduce the computation complexity. Experiments show that the proposed EPDS algorithm has almost the same image quality as PDS but with 30.72% computation reduction. The PDS and EPDS are both realized in 1D systolic array, under the worst working conditions (1.62V, 125degC) and 166MHz clock frequency, compared with PDS algorithm, the proposed EPDS algorithm can reduce 15.75% power consumption with 0.75K gates hardware increase
  • Keywords
    distortion; image processing; low-power electronics; motion estimation; systolic arrays; 1.62 V; 125 C; 166 MHz; 1D systolic array; fast motion estimation; low-power applications; parameter adaptive adjustment; partial distortion sorting; Clocks; Employee welfare; Energy consumption; Frequency; Hardware; Image quality; Motion estimation; Sorting; Systolic arrays; Video coding; motion estimation; partial distortion sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    1-4244-0387-1
  • Type

    conf

  • DOI
    10.1109/APCCAS.2006.342386
  • Filename
    4145623