• DocumentCode
    2288082
  • Title

    Low power surveillance video coding system

  • Author

    Jin, Xin ; Ba, Kun ; Goto, Satoshi

  • Author_Institution
    Inf. Technol. Res. Organ., Waseda Univ., Kitakyushu, Japan
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    1156
  • Lastpage
    1157
  • Abstract
    In this demo, a low power H.264/AVC video encoding system is demonstrated for surveillance video compression, which is based on our proposed algorithms as difference detection and Hilbert transform based workload estimation. Two surveillance video coding schemes (with and without our proposed methods, respectively) are implemented on multi-core embedded platform and compared side by side. The power consumption of each encoding scheme is measured during video encoding and displayed explicitly to show a more than 60% power reduction introduced by the proposed methods. The reconstructed video is also synchronized and displayed as the video is encoded to present a maximum of 50 times higher encoding speed.
  • Keywords
    Hilbert transforms; video coding; video surveillance; H.264/AVC video encoding; Hilbert transform; difference detection; low power surveillance; video coding; video compression; workload estimation; Automatic voltage control; Encoding; Estimation; Image coding; Power demand; Surveillance; Video coding; Difference detection; low power video coding; surveillance video coding; workload estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2010 IEEE International Conference on
  • Conference_Location
    Suntec City
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-7491-2
  • Type

    conf

  • DOI
    10.1109/ICME.2010.5583167
  • Filename
    5583167