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Proceedings Paper

Distributed multi-view video coding
Author(s): Xun Guo; Yan Lu; Feng Wu; Wen Gao; Shipeng Li
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Paper Abstract

There are mainly two key points which can affect the efficiency of multi-view video capture and transmission system largely: communication between cameras and computing complexity of encoder. In this paper, we propose a practical framework of distributed multi-view video coding, in which inter-camera communication is avoided and the large computing complexity is moved from encoder to decoder. In this scheme, multi-camera video sources are encoded separately and decoded dependently, and the traditional inter frame is replaced by Wyner-Ziv frame. To reach this goal, Wyner-Ziv theory on source coding with side information is employed as the basic coding principle. A Wyner-Ziv coding method based on wavelet transform and turbo codes is used as the core of the scheme. To further improve the coding performance, we also consider exploiting the large redundancy between adjacent views. A more flexible prediction method that can jointly use temporal and view correlations is proposed to generate the side information at the decoder. The experimental results show that the coding performance of proposed DMVC scheme is very promising compared to the traditional intra coding.

Paper Details

Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770T (19 January 2006); doi: 10.1117/12.642989
Show Author Affiliations
Xun Guo, Harbin Institute of Technology (China)
Yan Lu, Microsoft Research Asia (China)
Feng Wu, Microsoft Research Asia (China)
Wen Gao, Harbin Institute of Technology (China)
Institute of Computing Technology (China)
Shipeng Li, Microsoft Research Asia (China)

Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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