• DocumentCode
    2852327
  • Title

    Distributed compression for large camera arrays

  • Author

    Xiaoqing Zhu ; Aaron, Anne ; Girod, Bernd

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    30
  • Lastpage
    33
  • Abstract
    We address the problem of compression for large camera arrays, and propose a distributed solution based on Wyner-Ziv coding. The proposed scheme allows independent encoding of each view with low-complexity cameras, and performs centralized decoding with side information from additional views. Experimental results are given for two light field data sets. The performance of the proposed scheme is compared with independently coding each view using JPEG2000 and a shape-adaptive JPEG-like coder. The Wyner-Ziv coder yields superior compression performance at low bit-rates. In addition, there is a great reduction in encoder complexity when compared to JPEG2000.
  • Keywords
    array signal processing; cameras; data compression; image coding; JPEG2000; Wyner-Ziv coding; distributed data compression; large camera arrays; Cameras; Codecs; Decoding; Geometry; Image coding; Information systems; Laboratories; Layout; Shape; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289332
  • Filename
    1289332