Application control for fast adaptive error resilient H.264/AVC streaming over IP wireless networks

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 perceiv...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) s. 2332 - 2335
Hlavní autori: Lamy-Bergot, C., Gadat, B.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.05.2011
Predmet:
Bit rate
cross-layer approach
H.264/AVC
joint source/channel coding
Mathematical model
Optimised video transmission
Prediction algorithms
PSNR
Streaming media
Throughput
Wireless communication
ISBN:9781457705380, 1457705389
ISSN:1520-6149
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
ISBN:9781457705380
1457705389
ISSN:1520-6149
DOI:10.1109/ICASSP.2011.5946950