Motion refined medium granular scalability

Zhengguo Li; Wei Yao; Susanto Rahardja

doi:10.1117/12.703399

29 January 2007 Motion refined medium granular scalability

Zhengguo Li, Wei Yao, Susanto Rahardja

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 650820 (2007) https://doi.org/10.1117/12.703399
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Zhengguo Li, Wei Yao, and Susanto Rahardja "Motion refined medium granular scalability", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 650820 (29 January 2007); https://doi.org/10.1117/12.703399

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available