• DocumentCode
    3150462
  • Title

    GMM foreground segmentation processor based on address free pixel streams

  • Author

    Yagi, Ryo ; Kajimoto, Tomohito ; Nishitani, Takao

  • Author_Institution
    Tokyo Metropolitan Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1653
  • Lastpage
    1656
  • Abstract
    A compact implementation of a foreground segmentation processor in a multi-resolution transform domain has been proposed for HDTV signals. The proposed architecture is designed to simplify system controls by the hardware streaming and to reduce required memory capacities. It enables flowing pixels through all functional units in order, including multi-resolution spatial transform and temporal segmentation. The resultant architecture does not use memories except I/O buffers. Therefore, memory modules as well as complex address manipulation over the multiple global transforms and spatial/temporal interface is not required. The FPGA prototype chip dissipates 150 mW of power. This approach can be used for tablets and smart-phone by an ASIC implementation which will reduce the operation power to about 1/6.
  • Keywords
    Gaussian processes; application specific integrated circuits; buffer storage; digital signal processing chips; field programmable gate arrays; high definition television; image resolution; image segmentation; power aware computing; transforms; video signal processing; video streaming; ASIC implementation; FPGA prototype chip; GMM foreground segmentation processor; Gaussian mixture model; HDTV signals; I/O buffers; address free pixel streams; hardware streaming; memory capacity reduction; multiresolution spatial transform; power reduction; smart phone; tablets; temporal segmentation; Field programmable gate arrays; HDTV; Memory management; Process control; Real time systems; Registers; Transforms; FPGA prototype; Gaussian Mixture Model; custom DSP processor; multi-resolution transform; streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288213
  • Filename
    6288213