S. Mattoccia, Federico Tombari, L. D. Stefano, Marco Pignoloni
{"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}
引用次数: 19
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.
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。