@inproceedings{628dfffae04546d89b9f80d7694a2251,
title = "Adaptive power management of on-chip video memory for multiview video coding",
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 = "adaptivity, disparity estimation, low-power, motion estimation, MVC, on-chip memory, power-gating, power-management, video coding, video memory",
author = "Muhammad Shafique and Bruno Zatt and Walter, {Fabio Leandro} and Sergio Bampi and J{\"o}rg Henkel",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 49th Annual Design Automation Conference, DAC '12 ; Conference date: 03-06-2012 Through 07-06-2012",
year = "2012",
doi = "10.1145/2228360.2228516",
language = "English (US)",
isbn = "9781450311991",
series = "Proceedings - Design Automation Conference",
pages = "866--875",
booktitle = "Proceedings of the 49th Annual Design Automation Conference, DAC '12",
}