A rate-distortion optimization model for SVC inter-layer encoding and bitstream extraction
Journal of Visual Communication and Image Representation
Optimized bit extraction using distortion modeling in the scalable extension of H.264/AVC
IEEE Transactions on Image Processing
Multi-rate peer-to-peer video conferencing: a distributed approach using scalable coding
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Bit allocation for joint spatial-quality scalability in H.264/SVC
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Overview and traffic characterization of coarse-grain quality scalable (CGS) h.264 SVC encoded video
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Rate and Distortion Modeling of CGS Coded Scalable Video Content
IEEE Transactions on Multimedia
Optimized Rate-Distortion Extraction With Quality Layers in the Scalable Extension of H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Efficient bitstream extraction for scalable video based on simulated annealing
Concurrency and Computation: Practice & Experience
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Scalable video streams can be extracted to meet the bandwidth limitation of different networks and end-users. Bitstream extraction is usually performed at the network proxy or gateway during transmission, where a low computational complexity is always preferred. How to quickly and accurately select the best resolution combination for a video to meet different bandwidth requirements by each user is crucial in bitstream extraction. In this paper a fast algorithm of bitstream extraction for scalable video is proposed. The interlayer dependency between the base quality layer and the first quality layer was used to predict the distortion of higher quality layers. When quality of every layer is available, the proposed method searches for the optimized combination of quality layers based on simulated annealing. Experimental results show that the proposed method provides an optimized performance, which is significantly higher than that can be achieved by the basic extraction method. Compared to the quality layer based extraction method in the reference software model of H.264/SVC (i.e., JSVM), the proposed algorithm can greatly decrease the decoding times from 2NT to only 2 without losing rate-distortion performance. Furthermore, the proposed method obtains a more smoothed video quality which is always favorable to the observer.