Low Computation and Memory Access for Variable Block Size Motion Estimation Using Pixel Truncation

A. Bahari, T. Arslan, A. Erdogan
{"title":"Low Computation and Memory Access for Variable Block Size Motion Estimation Using Pixel Truncation","authors":"A. Bahari, T. Arslan, A. Erdogan","doi":"10.1109/SIPS.2007.4387631","DOIUrl":null,"url":null,"abstract":"This paper presents a method to reduce the computation and memory access for variable-block-size motion estimation using pixel truncation. Previous work has focused on implementing pixel truncation using a fixed-block-size (16×16 pixels) motion estimation. However, pixel truncation fails to give satisfactory results for smaller block partitions. In this paper, we analyse the effect of truncating pixels for smaller block partitions and propose a method to improve the frame prediction. Our method is able to reduce the total computation and memory access compared to conventional full search method without significantly degrading picture quality.","PeriodicalId":93225,"journal":{"name":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","volume":"11 1","pages":"681-685"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2007.4387631","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

This paper presents a method to reduce the computation and memory access for variable-block-size motion estimation using pixel truncation. Previous work has focused on implementing pixel truncation using a fixed-block-size (16×16 pixels) motion estimation. However, pixel truncation fails to give satisfactory results for smaller block partitions. In this paper, we analyse the effect of truncating pixels for smaller block partitions and propose a method to improve the frame prediction. Our method is able to reduce the total computation and memory access compared to conventional full search method without significantly degrading picture quality.
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
基于像素截断的可变块大小运动估计的低计算和内存访问
本文提出了一种利用像素截断来减少变块大小运动估计的计算量和内存访问的方法。以前的工作主要集中在使用固定块大小(16×16像素)运动估计实现像素截断。然而,对于较小的块分区,像素截断不能给出令人满意的结果。本文分析了截断像素对小块分割的影响,并提出了一种改进帧预测的方法。与传统的全搜索方法相比,我们的方法能够在不显著降低图像质量的情况下减少总计算量和内存访问。
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
Real-Time Estimation of Direction of Arrival of Speech Source Using Three Microphones. Optimization of Calibration Algorithms on a Manycore Embedded Platform A signal denoising technique based on wavelets modulus maxima lines and a self-scalable grid classifier Spectral Management of Multiple Wireless Signals Based Cognitive Radio Synthesizing hardware from dataflow programs: An MPEG-4 simple profile decoder case study
×
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:481959085
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