DocumentCode :
2577170
Title :
Practical Network Coding for scalable video in error prone networks
Author :
Halloush, Mohammed ; Radha, Hayder
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2009
fDate :
6-8 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we apply a generalized approach for practical Network Coding (NC) called Multi-Generation Mixing (MGM) in networks communicating scalable video contents. NC has been a viable approach of communication in packet loss networks. On the other hand NC losses are expensive. NC losses reduce the ability of receiver to decode packets, and hence may severely degrade the quality of recovered video. MGM employs the layering of scalable video streams to enhance the reliability of communication. MGM provides unequal protection for the different video layers such that the overall reliability of video communication is improved. With MGM instead of having enhancement layers just dependent on lower layers, enhancement layers support the recovery of lower layers. This is done by network encoding packets of lower layers in higher layers. Through extensive simulations, we show that MGM highly improves the quality of recovered video.
Keywords :
decoding; telecommunication network reliability; video coding; video streaming; decoding; error prone network; multigeneration mixing method; network coding; scalable video coding; video communication reliability; video streams; Automatic voltage control; Computer errors; Decoding; Encoding; Intelligent networks; Network coding; Static VAr compensators; Streaming media; Telecommunication network reliability; Video coding; Multi-Generation Mixing (MGM); Network Coding (NC); Scalable Video Coding (SVC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
Type :
conf
DOI :
10.1109/PCS.2009.5167427
Filename :
5167427
Link To Document :
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