{"title":"Robust region-based motion estimation for video compression","authors":"Jonathan S. Y. Teh, M. Spann","doi":"10.1109/ICIP.2000.901092","DOIUrl":null,"url":null,"abstract":"This paper presents a region-based motion estimation algorithm for use in video compression systems. It is based on overlapping block motion estimation with a least-median of squares (LMedS) error measure to estimate the initial motion field. The overlapping blocks improve the motion estimate for each pixel. The block-based motion field is subsequently segmented into various regions of coherent motion and the segmentation is refined in a rate-distortion framework. Region boundaries are then estimated and refined in an iterative procedure. The results show significantly lower prediction errors compared to other block-based approaches.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2000.901092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents a region-based motion estimation algorithm for use in video compression systems. It is based on overlapping block motion estimation with a least-median of squares (LMedS) error measure to estimate the initial motion field. The overlapping blocks improve the motion estimate for each pixel. The block-based motion field is subsequently segmented into various regions of coherent motion and the segmentation is refined in a rate-distortion framework. Region boundaries are then estimated and refined in an iterative procedure. The results show significantly lower prediction errors compared to other block-based approaches.
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