• DocumentCode
    3333256
  • Title

    Multi-view DVC system based on iterative inter-view prediction

  • Author

    Ma, Zhonghua ; Leung, Ka-Ming ; Becker-Lakus, Axel

  • Author_Institution
    Image & Video Res. Div., Canon Inf. Syst. Res. Australia (CiSRA), North Ryde, NSW, Australia
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2621
  • Lastpage
    2624
  • Abstract
    A novel multi-view camera system based on Distributed Video Coding (DVC) scheme is described in this paper. Unlike other systems that use camera arrays, the proposed system consists of multiple uncalibrated and vastly different still-image cameras. The relative positions and viewing angles of these uncalibrated cameras are not known a-priori. Images captured by these cameras are first registered using sparse, low level image features. Inter-view correlation is then exploited iteratively using a DVC scheme. Our results demonstrated that it is feasible to generate high-quality multi-view images from different and uncalibrated cameras based on DVC methods.
  • Keywords
    iterative methods; video coding; distributed video coding; interview correlation; iterative interview prediction; multiview DVC system; Cameras; Decoding; Feature extraction; Geometry; Pixel; Reliability; Video coding; Distributed Video Coding; Inter-view Prediction; Multiview Imaging System; Wyner-Ziv;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651439
  • Filename
    5651439