Paper Info
Title
Joint Source-Channel Adaptation for Perceptually Optimized Scalable Video Transmission
Abstract
Providing perceptual quality guarantees for video transmission over wireless channels is important for the end-user experience. The paper proposes an algorithm for perceptual quality optimization of scalable H.264 video with temporal and quality scalability. The algorithm supports adaptive unequal error protection so that different video layers are protected according to their relevance to video quality. For each video layer, a target packet error rate (PER) is selected such that a perceptual quality guarantee, measured using the multi-scale structural similarity (MS-SSIM) index, is satisfied. Given the target PER per video layer, the algorithm selects the modulation and coding scheme and the number of temporal and quality layers to transmit adaptively based on the channel state information (CSI) and source rates per video layer. Results show that the algorithm provides immunity against short term channel fluctuations, balances reliability and perceptual quality, reduces playback buffer starvation probability, and provides a convenient buffer management policy.
Year
DOI
Venue
2011
10.1109/GLOCOM.2011.6134145
Global Telecommunications Conference
Keywords
Field
DocType
channel coding,data compression,modulation,optimisation,probability,telecommunication network reliability,video coding,wireless channels,CSI,MS-SSIM,PER,adaptive unequal error protection,buffer management policy,buffer starvation probability,channel state information,coding scheme,end-user experience,joint source-channel adaptation,modulation scheme,multiscale structural similarity index,packet error rate,perceptually optimized scalable video transmission,scalable H.264 video,short-term channel fluctuation,video quality,wireless channel
Computer science,Computer network,Communication channel,Real-time computing,Data compression,Video quality,Rate–distortion optimization,Channel state information,Bit error rate,Scalable Video Coding,Scalability
Conference
ISSN
ISBN
Citations 
1930-529X E-ISBN : 978-1-4244-9267-1
978-1-4244-9267-1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Amin Abdel Khalek11257.44
Constantine Caramanis22022115.92
Robert W. Heath314415885.64
Heath, R.W.48510.82