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

B. Zatt, M. Shafique, S. Bampi, J. Henkel
{"title":"A low-power memory architecture with application-aware power management for motion & disparity estimation in Multiview Video Coding","authors":"B. Zatt, M. Shafique, S. Bampi, J. Henkel","doi":"10.1109/ICCAD.2011.6105303","DOIUrl":null,"url":null,"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.","PeriodicalId":6357,"journal":{"name":"2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.2011.6105303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30

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.
多视点视频编码中运动和视差估计的低功耗存储器架构
针对多视点视频编码中的运动和视差估计问题,提出了一种低功耗的片上多组视频存储器结构。内存组织(大小,银行,扇区等)是由对各种3d视频序列的内存使用行为的广泛分析驱动的。考虑到多睡眠状态模型,采用了一种应用感知的电源管理方案来降低片上存储器的泄漏能量。利用运动知识和视差估计算法,结合视频属性来预测每个Macroblock的内存需求。在考虑唤醒开销(延迟和能量)的同时,评估成本函数以确定空闲内存扇区的适当睡眠模式。完整的运动和视差估计架构采用65nm低功耗IBM技术实现。实验(针对各种测试视频序列)表明,与最先进的技术相比,我们的架构可减少高达80%的泄漏能量。我们的方案处理以30fps编码的四个HD1080p视图的运动和视差估计,功耗为57mW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信