DocumentCode
2931915
Title
Randomized Network Coding for UEP video delivery in overlay networks
Author
Thomos, Nikolaos ; Chakareski, Jacob ; Frossard, Pascal
Author_Institution
Signal Process. Lab. (LTS4), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
730
Lastpage
733
Abstract
This paper presents a receiver-driven video delivery algorithm that exploits a novel Randomized Network Coding (RNC) scheme for unequal error protection (UEP). The main idea of our approach is to account for the unequal importance of media packets in the network coding algorithm for efficient stream delivery in lossy overlay networks. Based on the requests from their neighbours, the network nodes properly combine packets and forward them to their children nodes. The network coding operations at every node are formulated as a log-concave optimization problem, which is solved with a greedy algorithm in only a few iterations. Our experimental results demonstrate that the proposed scheme permits to respect the priorities between the different packet classes. It further outperforms baseline network coding techniques for video streaming in overlay networks.
Keywords
computer networks; concave programming; greedy algorithms; iterative methods; video coding; video streaming; UEP video delivery algorithm; greedy algorithm; iteration method; log-concave optimization; overlay networks; randomized network coding; unequal error protection; video streaming; Error correction codes; Intelligent networks; Jacobian matrices; Laboratories; Network coding; Network servers; Peer to peer computing; Signal processing algorithms; Streaming media; Video signal processing; Network coding; overlay networks; rate allocation; unequal error protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location
New York, NY
ISSN
1945-7871
Print_ISBN
978-1-4244-4290-4
Electronic_ISBN
1945-7871
Type
conf
DOI
10.1109/ICME.2009.5202598
Filename
5202598
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