A game theory based classification for distributed downloading of multiple description coded video

Authors:
S. Milani;G. Calvagno
Affiliations:
Dept. of Information Engineering, University of Padova, Padova, Italy;Dept. of Information Engineering, University of Padova, Padova, Italy
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 2
Cited 1

Rainbow Network Flow of Multiple Description Codes

IEEE Transactions on Information Theory
Image quality assessment: from error visibility to structural similarity

IEEE Transactions on Image Processing

Improving quality-of-experience for multiple description video transmission in peer-to-peer networks

Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking

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Abstract

Recent works have shown how Multiple Description Coding (MDC) proves to be an effective solution for the multimedia transmission over Peer-to-Peer and Content Delivery Networks. However, despite the flexibility and scalability of these novel transmission paradigms, packet streams are still affected by losses, and an effective packet labelling that differentiates the QoS levels for the transmitted data is required. The paper presents a Game Theory based approach to classify the MDC coded video packets that are downloaded from a set of terminals spread throughout the network. The proposed approach improves the quality of the reconstructed sequence with limited feedback information from the network.