• DocumentCode
    2823097
  • Title

    Distributed video coding: A promising solution for distributed wireless video sensors or not?

  • Author

    Chiu, Chieh-Chuan ; Chien, Shao-Yi ; Lee, Chia-han ; Somayazulu, V. Srinivasa ; Chen, Yen-Kuang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Low-power and low-cost distributed wireless video sensors play important roles for applications in machine-to-machine (M2M) and wireless sensor networks. Distributed video coding (DVC), an emerging coding technology based on Wyner-Ziv theory, seems to be a possible solution for implementing low-power video sensors since most of the computational complexity is moved from the encoder to the decoder. In this paper, existing works on DVC are discussed with rate-distortion and power consumption analyses compared with H.264/AVC-based approaches. We show that, since more transmission power is required for compensating the lower rate-distortion performance, the power consumption of sensor nodes using DVC is just similar to that of using H.264/AVC with zero motion vectors. Therefore, there is still a room for improvement to make DVC applicable for distributed wireless video sensors. Based on our analysis results, several possible research directions, such as studies on the trade- off between hardware cost and system power consumption, are also addressed in this paper under a unified DVC framework.
  • Keywords
    power consumption; video coding; wireless sensor networks; DVC; H.264/AVC-based; M2M; Wyner- Ziv theory; coding technology; distributed video coding; distributed wireless video sensors; low-power video sensors; machine-to-machine; power consumption analyses; Codecs; Correlation; Decoding; Encoding; Power demand; Sensors; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2011 IEEE
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4577-1321-7
  • Electronic_ISBN
    978-1-4577-1320-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2011.6116018
  • Filename
    6116018