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Proceedings Paper

Robust distributed multi-view video compression for wireless camera networks
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Paper Abstract

We propose a novel method of exploiting inter-view correlation among cameras that have overlapping views in order to deliver error-resilient video in a distributed multi-camera system. The main focus in this work is on robustness which is imminently needed in a wireless setting. Our system has low encoding complexity, is robust while satisfying tight latency constraints, and requires no inter-sensor communication. In this work, we build on and generalize PRISM [Puri2002], an earlier proposed single-camera distributed video compression system. Specifically, decoder motion search, a key attribute of single-camera PRISM, is extended to the multi-view setting to include decoder disparity search based on two-view camera geometry. Our proposed system, dubbed PRISM-MC (PRISM multi-camera), achieved PSNR gains of up to 1.7 dB over a PRISM based simulcast solution in experiments over a wireless channel simulator.

Paper Details

Date Published: 29 January 2007
PDF: 9 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65080P (29 January 2007); doi: 10.1117/12.705421
Show Author Affiliations
Chuohao Yeo, Univ. of California, Berkeley (United States)
Kannan Ramchandran, Univ. of California, Berkeley (United States)


Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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