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

Author

Milani, S. ; Calvagno, G.

Author_Institution

Dept. of Inf. Eng., Univ. of Padova, Padova, Italy

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

3077

Lastpage

3080

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.

Keywords

game theory; peer-to-peer computing; quality of service; transmission; video coding; QoS levels; content delivery networks; distributed downloading classification; game theory; multimedia transmission; multiple description coding coded video packets; packet labelling; packet streams; peer-to-peer networks; Algorithm design and analysis; Bandwidth; Classification algorithms; Game theory; Labeling; Peer to peer computing; Propagation losses; Quality of service; Scheduling algorithm; Streaming media; Content Delivery Network; Multiple Description Coding; Peer-to-Peer network; game theory; packet classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414495

Filename

5414495