DocumentCode
1878460
Title
A low-complexity packet classification algorithm for multiple description video streaming over IEEE802.11E networks
Author
Milani, Simone ; Calvagno, Giancarlo ; Bernardini, Riccardo ; Rinaldo, Roberto
Author_Institution
Dept. of Inf. Eng., Univ. of Padova, Padova
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
3072
Lastpage
3075
Abstract
The robust transmission of video sequences over wireless LANs presents several challenging problems concerning the presence of packet losses, delays, and bandwidth limitations. Their effect on the visual quality of the sequence reconstructed by the end user can be mitigated by adopting a wireless architecture that is able to support different levels of quality-of-service (QoS), like the IEEE 802.11e standard, and by compressing the video sequence to be transmitted using a robust source coder, like a multiple description coding (MDC) scheme. This paper presents a MDC-based video streaming architecture that tries to adaptively optimize the performance of both solutions by assigning the RTP video packets produced by the MDC encoder to the different QoS classes of IEEE 802.11e. Simulation results show that the performance is significantly improved with respect to a non-adaptive solution.
Keywords
image reconstruction; image sequences; quality of service; video streaming; wireless LAN; IEEE802.11e networks; RTP video packets; low-complexity packet classification; multiple description video streaming; quality-of-service; robust source coder; robust transmission; sequence reconstructed; video sequences; visual quality; wireless LAN; wireless architecture; Bandwidth; Classification algorithms; Code standards; Delay; Propagation losses; Quality of service; Robustness; Streaming media; Video sequences; Wireless LAN; IEEE 802.11e; Multiple Description; cross-layer optimization; packet classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712444
Filename
4712444
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