• DocumentCode
    627758
  • Title

    A CMOS image sensor with low-complexity video compression for wireless sensor networks

  • Author

    Chefi, Ahmed ; Soudani, Adel ; Sicard, Gilles

  • Author_Institution
    Electron. & Microelectron. Lab., Sci. Fac. of Monastir, Monastir, Tunisia
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The aim of this paper is to present and evaluate a smart image sensor integrating an efficient video compression scheme designed to respect the energy constraints of image processing and transmission over WSNs (Wireless Sensor Networks). The interest of our single chip solution is twofold: first, compression settings can be changed at run time depending on video characteristics; second, compression is applied only on blocks that change significantly over time. The compressed blocks will be transmitted over the vision-based sensor network. This paper presents in details the hardware architecture of the proposed system and describes its performances, with relevant comparisons to some related works.
  • Keywords
    CMOS integrated circuits; data compression; image sensors; video coding; wireless sensor networks; CMOS image sensor; WSN; energy constraints; hardware architecture; image processing; image transmission; low-complexity video compression; smart image sensor; video characteristics; vision based sensor network; wireless sensor networks; CMOS image sensors; CMOS integrated circuits; Encoding; Hardware; Image coding; Video compression; Wireless sensor networks; CMOS Image Sensors; WSNs; low power; video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4799-0618-5
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2013.6573591
  • Filename
    6573591