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Adaptive power management of on-chip video memory for Multiview Video Coding.

Authors :
Shafique, Muhammad
Zatt, Bruno
Walter, Fabio Leandro
Bampi, Sergio
Henkel, Jorg
Source :
DAC Design Automation Conference 2012; 1/ 1/2012, p866-875, 10p
Publication Year :
2012

Abstract

An adaptive power management of on-chip video memory for Multiview Video Coding is presented. It leverages texture, motion and disparity properties of objects and their correlations in the 3D-neighborhood. It groups different Macroblocks of a frame and predicts the highly-probable motion/disparity search direction in order to power-gate idle memory regions. Exploited are the statistical properties of Macroblock groups to predict idle sectors. Our approach achieves on average 32% and 61% energy reduction (averaged over various video sequences) compared to state-of-the-art DSW [7] and Level C [12], respectively. The Motion/Disparity Estimation architecture with video memory and power management scheme is implemented using an ASIC flow (IBM-65nm Low-Power technology) and it processes 4-view HD1080p@33fps. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781450311991
Database :
Complementary Index
Journal :
DAC Design Automation Conference 2012
Publication Type :
Conference
Accession number :
86602300