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Proceedings Paper

Compressed sensing based video multicast
Author(s): Markus B. Schenkel; Chong Luo; Pascal Frossard; Feng Wu
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Paper Abstract

We propose a new scheme for wireless video multicast based on compressed sensing. It has the property of graceful degradation and, unlike systems adhering to traditional separate coding, it does not suffer from a cliff effect. Compressed sensing is applied to generate measurements of equal importance from a video such that a receiver with a better channel will naturally have more information at hands to reconstruct the content without penalizing others. We experimentally compare different random matrices at the encoder side in terms of their performance for video transmission. We further investigate how properties of natural images can be exploited to improve the reconstruction performance by transmitting a small amount of side information. And we propose a way of exploiting inter-frame correlation by extending only the decoder. Finally we compare our results with a different scheme targeting the same problem with simulations and find competitive results for some channel configurations.

Paper Details

Date Published: 4 August 2010
PDF: 9 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441H (4 August 2010); doi: 10.1117/12.863531
Show Author Affiliations
Markus B. Schenkel, Microsoft Research Asia (China)
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Chong Luo, Microsoft Research Asia (China)
Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Feng Wu, Microsoft Research Asia (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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