Abstract-Joint source-channel decoding of Variable Length Codes (VLC) for image and video streaming transmission over unreliable links, such as wireless networks, is a subject of increasing interest. This paper proposes an optimum Maximum Likelihood (ML) decoder of VLC sequences which exploits additional inherent redundancy in the source information, namely (i) the correlation between bits inside a VLC codeword as well as (ii) the correlation between VLC codewords of a VLC sequence unit (e.g. corresponding to one image block). Performance results for improving video decoding over AWGN channels are then presented and compared to the prefix-based decoder as well as the recently proposed VLC decoders.

Joint source-channel decoding of Variable Length C o d a (VLC) for image and video streaming transmission over unreliable links, such as wireless networks, is a subject of increasing interest. Paper 1141 shows that much more residual source redundancy can be exploited when both types of correlation: (i) the correlation between hits inside a VLC codeword as well as (ii) the correlation hetween VLC codewords of a VLC sequence unit (e.g. corresponding to one image hlock), are taken into account. Paper 1151 proposes an optimum Maximum Likelihood (ML) decoder of VLC sequences which can exploit these two kinds of correlation and outperform the existing VLC decoders. This paper proposes a reduced complexity version of this optimal VLC decoder. Simulation results show that the complexity is reduced hy 5 in terms of numher of possible candidates, while the performance is only slizhtly sub-optimal compared with the optimal venion of paper 051.Index Terms-VLC decoding. comoressed image and video -.-~ decoding, source redundancy, joint source-channel decoding.

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