Adaptive distributed source coding for multi-view images

  • Authors:
  • Mehrdad Panahpour Tehrani;Michael Droese;Toshiaki Fujii;Masayuki Tanimoto

  • Affiliations:
  • Department of Information Electronics, Geaduate School of Engineering, Nagoya University, Nagoya, Japan;Department of Information Electronics, Geaduate School of Engineering, Nagoya University, Nagoya, Japan;Department of Information Electronics, Geaduate School of Engineering, Nagoya University, Nagoya, Japan;Department of Information Electronics, Geaduate School of Engineering, Nagoya University, Nagoya, Japan

  • Venue:
  • PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
  • Year:
  • 2004

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Abstract

We show that distributed source coding of multi-view images using adaptive modules-operation can come close to the Slepian-Wolf bound. In the systematic scenario considered, two parent nodes (PN1 and PN2) on sides and child nodes (CNs) are located between PNs, which are statistically depended. A PN sends the whole image whereas a CN only partially, using an adaptive distributed source coding at a rate close to H(CN|PN1, PN2). The proposed scheme allows independent encoding and jointly decoding of views. Experimental results show performance close to the information-theoretic limit. Furthermore, good performance of the proposed architecture with adaptive scheme shows significant improvement over previous work.