'View synthesis for robust distributed video compression in wireless camera networks'
(Chuohao Yeo, Jiajun Wang and Kannan Ramchandran)
in IEEE International Conference on Image Processing 2007
[bibtex] [pdf]
Abstract
We propose a method for delivering error-resilient video from wireless camera networks in a distributed fashion over lossy channels. Our scheme is based on distributed source coding
that exploits inter-view correlation among cameras with overlapping views. The main focus in this work is on robustness which is imminently needed in a wireless setting. The proposed approach has low encoding complexity, is robust while satisfying tight latency constraints, and requires no inter-camera communication. Our system is built on and is a multi-camera extension of PRISM[1], an earlier proposed single-camera distributed video compression system. Decoder motion search, a key attribute of single-camera PRISM, is extended to the multi-view setting by using estimated scene
depth information when it is available. In particular, dense stereo correspondence and view synthesis are utilized to generate side-information. When combined with decoder motion search, our proposed method can be made insensitive to small errors in camera calibration, disparity estimation and view
synthesis. In experiments over a simulated wireless channel, the proposed approach achieves up to 2.1 dB gain in PSNR over a system using H.263+ with forward error correction.
'Robust distributed multi-view video compression for wireless camera networks'
(Chuohao Yeo and Kannan Ramchandran)
Best Student Paper Award in SPIE Visual Communications and Image Processing 2007
[bibtex] [pdf]
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 [1] an earlier proposed single-camera distributed video compression system. Specfically, 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.