DocumentCode :
1224740
Title :
Optimized Rate-Distortion Extraction With Quality Layers in the Scalable Extension of H.264/AVC
Author :
Amonou, Isabelle ; Cammas, Nathalie ; Kervadec, Sylvain ; Pateux, Stéphane
Author_Institution :
Orange Lab., Rennes
Volume :
17
Issue :
9
fYear :
2007
Firstpage :
1186
Lastpage :
1193
Abstract :
The concept of quality layers that has been introduced in scalable video coding (SVC) amendment of MPEG4-AVC is presented. By using the Quality Layers post-processing to evaluate and signal the impact on rate and distortion of the various enhancement information pieces, a significant gain is achieved: quality layers significantly outperform the basic standard extractor that was initially proposed in SVC. For the standard set of test sequences, in a range of acceptable video quality, an average quality gain of up to 0.5 dB is achieved. Furthermore, the technique can be used for combined (spatial, temporal and quality) scalability. Thanks to the signaling of this information in the header of the network abstraction layer units or in a supplemental enhancement information message, the adaptation can be performed with a simple parser, e.g., at decoder side or in an intelligent network node designed for rate adaptation.
Keywords :
intelligent networks; rate distortion theory; telecommunication standards; video coding; H.264/AVC; MPEG4-AVC; intelligent network node; network abstraction layer; quality layers; rate adaptation; rate-distortion extraction; scalable video coding; supplemental enhancement information message; Automatic voltage control; Data mining; Decoding; Intelligent networks; Rate distortion theory; Rate-distortion; Scalability; Static VAr compensators; Testing; Video coding; Communication standards; H.264; IEC; ISO; ITU; MPEG-4 AVC; MPEG-4 SVC; optimization methods; rate-distortion (R-D) theory; video coding;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2007.906870
Filename :
4317624
Link To Document :
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