Title :
Adaptive power management of on-chip video memory for Multiview Video Coding
Author :
Shafique, Muhammad ; Zatt, Bruno ; Walter, Fabio Leandro ; Bampi, Sergio ; Henkel, Jörg
Author_Institution :
Dept. of Embedded Syst., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
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.
Keywords :
application specific integrated circuits; image motion analysis; image texture; microprocessor chips; power aware computing; statistical analysis; video coding; 3D-neighborhood; ASIC flow; Macroblock groups; adaptive power management; highly-probable motion-disparity search direction; motion-disparity estimation architecture; multiview video coding; object disparity properties; object motion; object texture; on-chip video memory; statistical properties; Correlation; Estimation; Memory management; Passive optical networks; Prediction algorithms; System-on-a-chip; Video sequences; Adaptivity; Disparity Estimation; Low-Power; MVC; Motion Estimation; On-Chip Memory; Power-Gating; Power-Management; Video Coding; Video Memory;
Conference_Titel :
Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4503-1199-1
