有效和最优的块匹配运动估计

S. Mattoccia, Federico Tombari, L. D. Stefano, Marco Pignoloni
{"title":"有效和最优的块匹配运动估计","authors":"S. Mattoccia, Federico Tombari, L. D. Stefano, Marco Pignoloni","doi":"10.1109/ICIAP.2007.58","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation. The proposed technique derives from an approach previously proposed (Tombari et al., 2006) for template matching and it is based on the deployment of a succession of lower bounding functions of the matching metric. Hence, an algorithm is outlined which efficiently exploits these bounding functions in order to rapidly determine non-matching block candidates, thus reducing the overall computational burden. Experimental results show that, compared to the brute-force approach, the proposed technique allows for notable reductions in terms of number of operations and computation times.","PeriodicalId":118466,"journal":{"name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","volume":"11 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Efficient and optimal block matching for motion estimation\",\"authors\":\"S. Mattoccia, Federico Tombari, L. D. Stefano, Marco Pignoloni\",\"doi\":\"10.1109/ICIAP.2007.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation. The proposed technique derives from an approach previously proposed (Tombari et al., 2006) for template matching and it is based on the deployment of a succession of lower bounding functions of the matching metric. Hence, an algorithm is outlined which efficiently exploits these bounding functions in order to rapidly determine non-matching block candidates, thus reducing the overall computational burden. Experimental results show that, compared to the brute-force approach, the proposed technique allows for notable reductions in terms of number of operations and computation times.\",\"PeriodicalId\":118466,\"journal\":{\"name\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"volume\":\"11 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2007.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2007.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

本文提出了一种用于运动估计的快速块匹配的新技术,该技术是最优的,这意味着它产生与全搜索调查相同的结果。所提出的技术源自先前提出的模板匹配方法(Tombari et al., 2006),它基于匹配度量的一系列下限函数的部署。因此,本文提出了一种有效利用这些边界函数的算法,以快速确定不匹配的候选块,从而减少总体计算负担。实验结果表明,与暴力破解方法相比,该方法可以显著减少操作次数和计算时间。
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
Efficient and optimal block matching for motion estimation
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation. The proposed technique derives from an approach previously proposed (Tombari et al., 2006) for template matching and it is based on the deployment of a succession of lower bounding functions of the matching metric. Hence, an algorithm is outlined which efficiently exploits these bounding functions in order to rapidly determine non-matching block candidates, thus reducing the overall computational burden. Experimental results show that, compared to the brute-force approach, the proposed technique allows for notable reductions in terms of number of operations and computation times.
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
Real-time Gesture Recognition in Advanced Videocommunication Services Corner Displacement from Motion Blur A Method of Clustering Combination Applied to Satellite Image Analysis Sight enhancement through video fusion in a surveillance system Robust Iris Localization and Tracking based on Constrained Visual Fitting
×
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