DocumentCode :
2163762
Title :
Application control for fast adaptive error resilient H.264/AVC streaming over IP wireless networks
Author :
Lamy-Bergot, C. ; Gadat, B.
Author_Institution :
Thales Commun. France, Colombes, France
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
2332
Lastpage :
2335
Abstract :
Following the joint source and channel coding paradigm, we propose in this article an application controlling strategy to allow fast adaptation of multimedia transmission to the impairments of an IP wireless network. To this purpose, a semi analytical prediction algorithm of the video stream perceived quality of service (PQoS) expressed as the end-to-end distortion (EED) is introduced, that takes into account the distortions due to the diverse treatments of compression, transmission and decoding for a group of pictures (GOP) subject to an imperfect communication channel. This algorithm allows to define the parameters providing the best perceived quality at the receiver side in terms both of compression and optionally of error correcting redundancy insertion to minimise the error impact with a GOP adaptation rate, as demonstrated by the results presented for H.264/AVC streams transmitted in various channel configurations.
Keywords :
IP networks; channel coding; error analysis; quality of service; source coding; telecommunication channels; video coding; video streaming; H.264/AVC stream; IP wireless network; application control; channel coding; communication channel; error correction; group of picture; multimedia transmission; perceived quality of service; receiver; source coding; video stream; Bit rate; Mathematical model; PSNR; Prediction algorithms; Streaming media; Throughput; Wireless communication; H.264/AVC; Optimised video transmission; cross-layer approach; joint source/channel coding; wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946950
Filename :
5946950
Link To Document :
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