运动图像的运动估计算法研究

Ryota Bnadou, M. Hiramori, S. Iwade, H. Makino, Tutomu Yoshimura, Y. Matsuda
{"title":"运动图像的运动估计算法研究","authors":"Ryota Bnadou, M. Hiramori, S. Iwade, H. Makino, Tutomu Yoshimura, Y. Matsuda","doi":"10.1109/GCCE.2016.7800439","DOIUrl":null,"url":null,"abstract":"In this paper, the operation cycle for Motion Vector Search is evaluated between the proposed search method and the conventional Full Search algorithm. As a result, the operation cycle of the proposed method is 74% smaller than Full Search algorithm but the circuit size is 0.8% larger than that of Full Search algorithm and the vector matching accuracy of the proposed search method deteriorate to 66.8%, when compared with Full Search algorithm.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A study on motion estimation algorithm for moving pictures\",\"authors\":\"Ryota Bnadou, M. Hiramori, S. Iwade, H. Makino, Tutomu Yoshimura, Y. Matsuda\",\"doi\":\"10.1109/GCCE.2016.7800439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the operation cycle for Motion Vector Search is evaluated between the proposed search method and the conventional Full Search algorithm. As a result, the operation cycle of the proposed method is 74% smaller than Full Search algorithm but the circuit size is 0.8% larger than that of Full Search algorithm and the vector matching accuracy of the proposed search method deteriorate to 66.8%, when compared with Full Search algorithm.\",\"PeriodicalId\":416104,\"journal\":{\"name\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2016.7800439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 5th Global Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2016.7800439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在本文中,对运动矢量搜索的运算周期进行了评估,并与传统的全搜索算法进行了比较。结果表明,该方法的运算周期比Full Search算法缩短74%,电路尺寸比Full Search算法大0.8%,矢量匹配精度比Full Search算法下降到66.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on motion estimation algorithm for moving pictures
In this paper, the operation cycle for Motion Vector Search is evaluated between the proposed search method and the conventional Full Search algorithm. As a result, the operation cycle of the proposed method is 74% smaller than Full Search algorithm but the circuit size is 0.8% larger than that of Full Search algorithm and the vector matching accuracy of the proposed search method deteriorate to 66.8%, when compared with Full Search algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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