• DocumentCode
    2576088
  • Title

    Power-rate-distortion model for low-complexity video coding

  • Author

    Kang, Li-Wei ; Lu, Chun-Shien

  • Author_Institution
    Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wireless visual sensor networks are potentially applicable for several emerging applications. Since the resource-limited restriction for a visual sensor node (VSN), efficient resource allocation for video compression is challenging. In this paper, a power-rate-distortion (PRD) model-based low-complexity multiview video codec is proposed. Our PRD model is used to characterize the relationship between the available resources and the RD performance of our video codec. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. Analytic and simulation results are provided to verify the resource scalability and accuracy of our PRD model in facilitating our low-complexity multiview video codec to achieve good performance.
  • Keywords
    data compression; resource allocation; video codecs; video coding; wireless sensor networks; low-complexity multiview video codec; low-complexity video coding; optimal coding mode decision; power-rate-distortion model; resource allocation; video compression; visual sensor node; wireless visual sensor networks; Analytical models; Bit rate; Performance analysis; Resource management; Scalability; Sensor phenomena and characterization; Video codecs; Video coding; Video compression; Wireless sensor networks; Low-complexity video coding; power-ratedistortion optimization; wireless visual sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167367
  • Filename
    5167367