基于四维递归搜索块匹配的高精度运动估计

T. Yamamoto, N. Mishima, T. Ono, T. Kaneko
{"title":"基于四维递归搜索块匹配的高精度运动估计","authors":"T. Yamamoto, N. Mishima, T. Ono, T. Kaneko","doi":"10.1109/GCCE.2012.6379935","DOIUrl":null,"url":null,"abstract":"3-D recursive search block matching is a conventional motion estimation method based on block matching. The algorithm is more efficient and effective than a full-search algorithm. However, the algorithm tends to fail to detect the true motion when the spatiotemporal smoothness of motion is not held. In this paper, we propose a new motion estimation algorithm introducing hierarchical search strategy.","PeriodicalId":299732,"journal":{"name":"The 1st IEEE Global Conference on Consumer Electronics 2012","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"High-accuracy motion estimation with 4-D recursive search block matching\",\"authors\":\"T. Yamamoto, N. Mishima, T. Ono, T. Kaneko\",\"doi\":\"10.1109/GCCE.2012.6379935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"3-D recursive search block matching is a conventional motion estimation method based on block matching. The algorithm is more efficient and effective than a full-search algorithm. However, the algorithm tends to fail to detect the true motion when the spatiotemporal smoothness of motion is not held. In this paper, we propose a new motion estimation algorithm introducing hierarchical search strategy.\",\"PeriodicalId\":299732,\"journal\":{\"name\":\"The 1st IEEE Global Conference on Consumer Electronics 2012\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 1st IEEE Global Conference on Consumer Electronics 2012\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2012.6379935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 1st IEEE Global Conference on Consumer Electronics 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2012.6379935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

三维递归搜索块匹配是一种基于块匹配的传统运动估计方法。该算法比全搜索算法更高效。然而,当不保证运动的时空平滑性时,该算法往往无法检测到真实的运动。本文提出了一种引入分层搜索策略的运动估计算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
High-accuracy motion estimation with 4-D recursive search block matching
3-D recursive search block matching is a conventional motion estimation method based on block matching. The algorithm is more efficient and effective than a full-search algorithm. However, the algorithm tends to fail to detect the true motion when the spatiotemporal smoothness of motion is not held. In this paper, we propose a new motion estimation algorithm introducing hierarchical search strategy.
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
期刊最新文献
A rule generation method for electrical appliances management systems with home EoD Lane departure warning system based on dynamic vanishing point adjustment Machine vision system for surface defect inspection of printed silicon solar cells Atomic fragmentation for efficient opportunistic multicasting over cognitive radio networks Implementation and evaluation of NTMobile with Android smartphones in IPv4/IPv6 networks
×
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