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Proceedings Paper

Motion refined medium granular scalability
Author(s): Zhengguo Li; Wei Yao; Susanto Rahardja
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Paper Abstract

In this paper, we propose an interesting scheme to obtain a good tradeoff between motion information and residual information for medium granular scalability (MGS). In this scheme, both motion information and residual information are refined at enhancement layers when the scalable bit rate range is wide, whereas only residual information is refined when the range is narrow. In other words, for the case of wide bit rate range, there can be more than one motion vector fields (MVFs) where one is generated at base layer and others are generated at enhancement layers. When it is narrow, only one MVF is necessary. The layers can either share one MVF or have its own, depending on the bit rate range cross layers. Unlike Coarse Granular Scalability (CGS), the correlation between two adjacent MVFs in MGS is very strong. Hence MGS can be provided in the most important bit rate range to achieve a better tradeoff between motion and residual information and a finer granularity in that range. CGS can be applied in less important bit rate ranges to give a coarse granularity. Experimental results show that the coding efficiency can be improved by up to 1dB compared with existing SNR scalability scheme at high bit rate.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 650820 (29 January 2007); doi: 10.1117/12.703399
Show Author Affiliations
Zhengguo Li, Institute for Infocomm Research (Singapore)
Wei Yao, Institute for Infocomm Research (Singapore)
Susanto Rahardja, Institute for Infocomm Research (Singapore)


Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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