• DocumentCode
    2191198
  • Title

    Low Computation and Memory Access for Variable Block Size Motion Estimation Using Pixel Truncation

  • Author

    Bahari, Asral ; Arslan, Tughrul ; Erdogan, Ahmet T.

  • Author_Institution
    School of Engineering and Electronics, University of Edinburgh, United Kingdom, Email: a.bahari@ed.ac.uk
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    681
  • Lastpage
    685
  • Abstract
    This paper presents a method to reduce the computation and memory access for variable-block-size motion estimation using pixel truncation. Previous work has focused on implementing pixel truncation using a fixed-block-size (16×16 pixels) motion estimation. However, pixel truncation fails to give satisfactory results for smaller block partitions. In this paper, we analyse the effect of truncating pixels for smaller block partitions and propose a method to improve the frame prediction. Our method is able to reduce the total computation and memory access compared to conventional full search method without significantly degrading picture quality.
  • Keywords
    Costs; Degradation; Energy consumption; Hardware; MPEG 4 Standard; Motion estimation; Quadratic programming; Quantization; Search methods; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2007 IEEE Workshop on
  • Conference_Location
    Shanghai, China
  • ISSN
    1520-6130
  • Print_ISBN
    978-1-4244-1222-8
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2007.4387631
  • Filename
    4387631