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2009 International Conference on Advanced Information Networking and Applications
Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
Bradford, United Kingdom
May 26-May 29
ISBN: 978-0-7695-3638-5
ASCII Text
x 
 
Jiao Feng, Chi Xuefen, Peng Li, Wang Yining, Lin Guan, "Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio," Advanced Information Networking and Applications, International Conference on, pp. 182-188, 2009 International Conference on Advanced Information Networking and Applications, 2009.
 
 
BibTex
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@article{ 10.1109/AINA.2009.85,
author = {Jiao Feng and Chi Xuefen and Peng Li and Wang Yining and Lin Guan},
title = {Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {0},
year = {2009},
issn = {1550-445X},
pages = {182-188},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2009.85},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
SN - 1550-445X
SP182
EP188
A1 - Jiao Feng,
A1 - Chi Xuefen,
A1 - Peng Li,
A1 - Wang Yining,
A1 - Lin Guan,
PY - 2009
KW - adaptive FEC
KW - error control
KW - playable frame rate
KW - wireless
KW - video
VL - 0
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the bandwidth utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective utilization ratio of FEC. Based on these analytic models, quality of video stream and effective utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the utilization of bandwidth.
Index Terms:
adaptive FEC, error control, playable frame rate, wireless, video
Citation:
Jiao Feng, Chi Xuefen, Peng Li, Wang Yining, Lin Guan, "Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio," aina, pp.182-188, 2009 International Conference on Advanced Information Networking and Applications, 2009
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