• DocumentCode
    1895812
  • Title

    Reduced computation and memory access for VBSME using pixel truncation

  • Author

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

  • Author_Institution
    School of Engineering and Electronics, University of Edinburgh, United Kingdom
  • fYear
    2007
  • fDate
    26-29 Sept. 2007
  • Firstpage
    59
  • Lastpage
    62
  • 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
    Batteries; Costs; Degradation; Energy consumption; Hardware; MPEG 4 Standard; Motion estimation; Search methods; Video compression; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SOC Conference, 2007 IEEE International
  • Conference_Location
    Hsin Chu, Taiwan
  • Print_ISBN
    978-1-4244-1592-2
  • Electronic_ISBN
    978-1-4244-1593-9
  • Type

    conf

  • DOI
    10.1109/SOCC.2007.4545426
  • Filename
    4545426