A fully parallel-pipelined architecture for full-search block-based motion estimation

M. Sayed, Wael Badawy
{"title":"A fully parallel-pipelined architecture for full-search block-based motion estimation","authors":"M. Sayed, Wael Badawy","doi":"10.1109/ICM-02.2002.1161488","DOIUrl":null,"url":null,"abstract":"The motion estimation block in the digital video encoder is the most important block and the most difficult block to design. The block-based motion estimation is simple technique for doing motion estimation and it is suitable for VLSI implementation. The full search block-based motion estimation suffers from the huge number of computations needed to look for the best match block among all the candidate blocks. To face this computation cost parallel and pipelined implementations are needed. This paper presents innovative parallel-pipelined architecture for full-search block-based motion estimation. Full search block matching algorithm is used in the proposed architecture. The proposed architecture has been prototyped, simulated and synthesized for 0.18 /spl mu/m CMOS technology using TSMC standard cells. Using 100 MHz clock frequency the proposed architecture needs 50.5 /spl mu/sec to compute the motion vectors, which enables processing of more than 10k frames per second. The prototyped architecture consumes 312.07 mW with 1.6 V supply voltage and has core area of 0.795 mm/sup 2/.","PeriodicalId":433175,"journal":{"name":"The 14th International Conference on Microelectronics,","volume":"145 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 14th International Conference on Microelectronics,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM-02.2002.1161488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The motion estimation block in the digital video encoder is the most important block and the most difficult block to design. The block-based motion estimation is simple technique for doing motion estimation and it is suitable for VLSI implementation. The full search block-based motion estimation suffers from the huge number of computations needed to look for the best match block among all the candidate blocks. To face this computation cost parallel and pipelined implementations are needed. This paper presents innovative parallel-pipelined architecture for full-search block-based motion estimation. Full search block matching algorithm is used in the proposed architecture. The proposed architecture has been prototyped, simulated and synthesized for 0.18 /spl mu/m CMOS technology using TSMC standard cells. Using 100 MHz clock frequency the proposed architecture needs 50.5 /spl mu/sec to compute the motion vectors, which enables processing of more than 10k frames per second. The prototyped architecture consumes 312.07 mW with 1.6 V supply voltage and has core area of 0.795 mm/sup 2/.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于全搜索块的运动估计的完全并行流水线架构
运动估计模块是数字视频编码器中最重要也是最难设计的模块。基于分块的运动估计是一种简单的运动估计技术,适合于大规模集成电路的实现。基于全搜索块的运动估计需要在所有候选块中寻找最佳匹配块,这需要大量的计算。为了应对这种计算成本,需要并行和流水线实现。本文提出了一种新颖的并行流水线结构,用于基于全搜索块的运动估计。该体系结构采用全搜索块匹配算法。采用台积电标准单元对0.18 /spl mu/m CMOS技术进行了原型设计、仿真和合成。使用100mhz时钟频率,所提出的架构需要50.5 /spl mu/sec来计算运动向量,这使得每秒可以处理超过10k帧。原型架构功耗为312.07 mW,电源电压为1.6 V,核心面积为0.795 mm/sup 2/。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fingerprint recognition using fuzzy artmap neural network architecture A compact modeling of drain current in PD/FD SOI MOSFETs A novel time-to-digital converter with 150 ps time resolution and 2.5 ns pulse-pair resolution The synchronous oscillator in frequency generation: an overview FPGA-based load balancer for Internet servers
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1