• DocumentCode
    3547853
  • Title

    A hardware-based predictive motion estimation algorithm

  • Author

    Hamalainen, Saku ; Koskinen, Lauri ; Halonen, Kari

  • Author_Institution
    Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    6114
  • Abstract
    For low-power motion estimation hardware solutions, advanced hardware aimed algorithms and architectures are a necessity. A hardware solution for the modern emerging standard H.264 is investigated. Design trade-offs, including search patterns, predictors, and memory architecture, have been made with power consumption and hardware complexity in mind. The memory architecture has been optimised for the variable block sizes used in H.264 motion estimation. All predictors are refined with the small search pattern. An average PSNR of -0.0438 dB compared to the full-search algorithm was simulated. A 2.793 mm2 layout, using 0.18 μm CMOS technology, of the design running at 7.61 MHz is presented.
  • Keywords
    CMOS digital integrated circuits; hardware-software codesign; integrated circuit design; memory architecture; motion estimation; power consumption; prediction theory; search problems; video coding; 0.18 micron; 7.61 MHz; CMOS technology; H.264; hardware complexity; hardware-based predictive motion estimation algorithm; low-power hardware solutions; memory architecture; power consumption; predictors; search patterns; Algorithm design and analysis; CMOS technology; Clocks; Energy consumption; Hardware; Memory architecture; Motion estimation; Partitioning algorithms; Prediction algorithms; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1466035
  • Filename
    1466035