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Fast multilayered prediction algorithm for group of pictures in H.264/SVC

Abdelazim, Abdelrahman, Mein, Stephen James, Varley, Martin Roy, Grecos, Christos and Ait-Boudaoud, Djamel (2011) Fast multilayered prediction algorithm for group of pictures in H.264/SVC. Proceedings of SPIE - The International Society for Optical Engineering, 7871. 78710P. ISSN 0277-786X

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1117/12.873079

Abstract

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.

Item Type: Article
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 06 Mar 2019 12:28
Last Modified: 06 Mar 2019 12:28
URI: https://norma.ncirl.ie/id/eprint/3686

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