Distributed joint source-channel coding of video using raptor codes

Extending recent works on distributed source coding, this paper considers distributed source-channel coding and targets at the important application of scalable video transmission over wireless networks. The idea is to use a single channel code for both video compression (via Slepian-Wolf coding) an...

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Bibliographic Details
Published inIEEE journal on selected areas in communications Vol. 25; no. 4; pp. 851 - 861
Main Authors Qian Xu, Stankovic, V., Zixiang Xiong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2007
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Approximation
Bandwidth
Channel coding
Channels
Coders
Coding
Compressing
Decoders
Image coding
Iterative decoding
Protection
Robustness
Source coding
Video coding
Video compression
Video transmission
Wireless networks
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Summary:Extending recent works on distributed source coding, this paper considers distributed source-channel coding and targets at the important application of scalable video transmission over wireless networks. The idea is to use a single channel code for both video compression (via Slepian-Wolf coding) and packet loss protection. First, we provide a theoretical code design framework for distributed joint source-channel coding over erasure channels and then apply it to the targeted video application. The resulting video coder is based on a cross-layer design where video compression and protection are performed jointly. We choose Raptor codes - the best approximation to a digital fountain - and address in detail both encoder and decoder designs. Using the received packets together with a correlated video available at the decoder as side information, we devise a new iterative soft-decision decoder for joint Raptor decoding. Simulation results show that, compared to one separate design using Slepian-Wolf compression plus erasure protection and another based on FGS coding plus erasure protection, the proposed joint design provides better video quality at the same number of transmitted packets. Our work represents the first in capitalizing the latest in distributed source coding and near-capacity channel coding for robust video transmission over erasure channels.
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ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2007.070520