• DocumentCode
    1759817
  • Title

    Low-complexity distributed multiple description coding for wireless video sensor networks

  • Author

    Wenhui Liu ; Vijayanagar, Krishna Rao ; Joohee Kim

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    3
  • Issue
    3
  • fYear
    2013
  • fDate
    41518
  • Firstpage
    205
  • Lastpage
    215
  • Abstract
    Quality-of-service-guaranteed video communication in wireless video sensor networks (WVSNs) is extremely challenging because of the unique constraints of WVSN (e.g. limited resources of sensors and high error rates in wireless sensor networks) and the characteristics of video traffic (e.g. huge data rate and tight delay bounds). Distributed video coding (DVC) has emerged as a new video coding paradigm for video applications with resource-limited encoders. However, current DVC architectures still have several technical limitations that prevent their widespread use in real-world applications. A low-complexity distributed multiple description coding method that combines the principles of multiple description coding and DVC has been proposed to further improve the error resilience of DVC, while maintaining low encoder complexity and good rate-distortion performance in WVSN. Simulation results show that the proposed method is robust against transmission errors, while maintaining low encoder complexity and low system latency for resource-limited applications in WVSNs.
  • Keywords
    network coding; quality of service; rate distortion theory; telecommunication traffic; video coding; video communication; wireless sensor networks; DVC; WVSN; distributed video coding; error resilience; low-complexity distributed multiple description coding method; quality-of-service-guaranteed video communication; rate-distortion performance; resource-limited encoder application; tight delay bound; video traffic characteristics; wireless video sensor network;
  • fLanguage
    English
  • Journal_Title
    Wireless Sensor Systems, IET
  • Publisher
    iet
  • ISSN
    2043-6386
  • Type

    jour

  • DOI
    10.1049/iet-wss.2012.0115
  • Filename
    6585110