SEACAST: a protocol for peer-to-peer video streaming supporting multiple description coding
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A game theory based classification for distributed downloading of multiple description coded video
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Rainbow Network Flow of Multiple Description Codes
IEEE Transactions on Information Theory
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Recent works have shown how the transmission of multimedia data over Peer-to-Peer networks is significantly improved by the adoption of Multiple Description Coding (MDC) techniques. However, the performance of these schemes can be significantly enhanced by differentiating the Quality-of-Service levels for the transmitted data in order to grant intra-stream and inter-stream diversities among the loss patterns affecting the different descriptions. The paper presents a classification algorithm that addresses a four description MDC scheme and adopts an optimization strategy based on modelling the transmission of packets like a noncooperative game. Different peers are considered as independent players competing for the network resources. The proposed approach improves the quality of the reconstructed sequence without the need of a coordinating node or message passing between the uploading peers.