• DocumentCode
    390613
  • Title

    A low power implementation for the motion estimation processor

  • Author

    Jou, Jer Mill ; Shiau, Yeu Horng ; Zheng, Bu Ren

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    1
  • fYear
    2002
  • fDate
    28-31 Oct. 2002
  • Firstpage
    220
  • Abstract
    This paper presents a low power video motion estimation processor. The combination of motion fuzzy prediction and modified four-step search algorithm (4SS) gives faster and more correct searching results. With the analysis of the relationship between the consecutive search iterations, some of the searching operations are saved which enhance the computing efficiency and reduce power consumption. Experimental results demonstrate the higher performance in both PNSR and computation complexity compared to other systems.
  • Keywords
    computational complexity; motion estimation; video coding; PNSR; computation complexity; computing efficiency; consecutive search iterations; low power video motion estimation processor; modified four-step search algorithm; motion fuzzy prediction; power consumption; Algorithm design and analysis; Computer architecture; Costs; Energy consumption; Fuzzy control; Hardware; Milling machines; Motion estimation; Throughput; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
  • Print_ISBN
    0-7803-7490-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2002.1181254
  • Filename
    1181254