A low-power memory architecture with application-aware power management for motion & disparity estimation in Multiview Video Coding

Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A low-power architecture for an on-chip multi-banked video memory for motion and disparity estimation in Multiview Video Coding is proposed. The memory organization (size, banks, sectors, etc.) is driven by an extensive analysis of memory-usage behavior for various 3D-video sequences. Considering a multiple-sleep state model, an application-aware power management scheme is employed to reduce the leakage energy of the on-chip memory. The knowledge of motion and disparity estimation algorithm in conjunction with video properties are considered to predict the memory requirements of each Macroblock. A cost function is evaluated to determine an appropriate sleep mode for the idle memory sectors, while considering the wakeup overhead (latency and energy). The complete motion and disparity estimation architecture is implemented in a 65nm low power IBM technology. The experiments (for various test video sequences) demonstrate that our architecture provides up to 80% leakage energy reduction compared to state-of-the-art. Our scheme processes motion and disparity estimation of four HD1080p views encoding at 30fps with a power consumption of 57mW.

Original languageEnglish (US)
Title of host publication2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Pages40-47
Number of pages8
DOIs
StatePublished - 2011
Event2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 - San Jose, CA, United States
Duration: Nov 7 2011Nov 10 2011

Publication series

NameIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
ISSN (Print)1092-3152

Conference

Conference2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Country/TerritoryUnited States
CitySan Jose, CA
Period11/7/1111/10/11

Keywords

  • application-aware power management
  • disparity estimation
  • low power
  • motion estimation
  • Multiview video coding
  • on-chip memory
  • power-gating
  • video memory

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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