In this paper, a backward compatible header error protection mechanism is described. It consists of the addition of a dedicated marker segment to a JPEG 2000 codestream, that will contain the error correction data generated by a block error correction code (e.g. a Reed Solomon code). This mechanism allows to leave the original data intact, hence providing backward compatibility with the already standardised JPEG 2000. Neither side information from higher level, nor extra signalling encapsulation is needed, as the required information is directly embedded in the codestream and also protected. Finally, it is shown how this mechanism can be used for perform unequal error protection of the whole JPEG 2000 stream. 1

A content adaptive, network aware approach for joint optimization of wireless video transmission is presented in this article. The joint system optimization approach has been developed in the framework of the IST PHOENIX project (www.ist-phoenix.org).After a description of the considered crosslayer approach and of the information to be exchanged among the system component blocks, the concept of "JSCC/D controllers" is introduced. Results obtained through the demonstrator realized as proof-of-concept for the described paradigm are then shown, confirming the validity of the described joint optimization approach.

This paper presents the application to H.264 stan dard of a soft-input VLC decoding algorithm based on MAP sequence estimation techniques and using residual source re dundancy information to provide channel error protection and correction. This algorithm relies on the presence of soft "alues and of contextual information available at the input of the source decoder, and is fully compatible with the existing H.264 standard. Numerical results obtained with this considered soft-input decoding algorithm to the decoding of a H.264 encoded ",ideo sequence under the assumption of an unequal error protection scheme are presented. Performance obtained for the 'Foreman'ITU reference sequence show that the proposed algorithm pro vides gains up to ] 2 to 15 dB in terms of PSNR when compared to classical hard input decoding methods.

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