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2 February 2011 Fast multilayered prediction algorithm for group of pictures in H.264/SVC
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Proceedings Volume 7871, Real-Time Image and Video Processing 2011; 78710P (2011)
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
The objective of scalable video coding is to enable the generation of a unique bitstream that can adapt to various bitrates, transmission channels and display capabilities. The scalability is categorised in terms of temporal, spatial, and quality. To improve encoding efficiency, the SVC scheme incorporates inter-layer prediction mechanisms which increases complexity of overall encoding. In this paper several conditional probabilities are established relating motion estimation characteristics and the mode distribution at different layers of the H.264/SVC. An evaluation of these probabilities is used to structure a low-complexity prediction algorithm for Group of Pictures (GOP) in H.264/SVC, reducing computational complexity whilst maintaining similar performance. When compared to the JSVM software, this algorithm achieves a significant reduction of encoding time, with a negligible average PSNR loss and bit-rate increase in temporal, spatial and SNR scalability. Experiments are conducted to provide a comparison between our method and a recently developed fast mode selection algorithm. These demonstrate our method achieves appreciable time savings for scalable spatial and scalable quality video coding, while maintaining similar PSNR and bit rate.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdelrahman Abdelazim, Stephen James Mein, Martin Roy Varley, Christos Grecos, and Djamel Ait-Boudaoud "Fast multilayered prediction algorithm for group of pictures in H.264/SVC", Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710P (2 February 2011);


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