{"title":"压缩视频中粗到精的运动区域分割","authors":"Yue Chen, I. Bajić, Parvaneh Saeedi","doi":"10.1109/WIAMIS.2009.5031428","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a coarse-to-fine segmentation method for extracting moving regions from compressed video. First, motion vectors are clustered to provide a coarse segmentation of moving regions at block level. Second, boundaries between moving regions are identified, and finally, a fine segmentation is performed within boundary regions using edge and color information. Experimental results show that the proposed method can segment moving regions fairly accurately, with sensitivity of 85% or higher, and specificity of over 95%.","PeriodicalId":233839,"journal":{"name":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Coarse-to-fine moving region segmentation in compressed video\",\"authors\":\"Yue Chen, I. Bajić, Parvaneh Saeedi\",\"doi\":\"10.1109/WIAMIS.2009.5031428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a coarse-to-fine segmentation method for extracting moving regions from compressed video. First, motion vectors are clustered to provide a coarse segmentation of moving regions at block level. Second, boundaries between moving regions are identified, and finally, a fine segmentation is performed within boundary regions using edge and color information. Experimental results show that the proposed method can segment moving regions fairly accurately, with sensitivity of 85% or higher, and specificity of over 95%.\",\"PeriodicalId\":233839,\"journal\":{\"name\":\"2009 10th Workshop on Image Analysis for Multimedia Interactive Services\",\"volume\":\"2012 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 10th Workshop on Image Analysis for Multimedia Interactive Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIAMIS.2009.5031428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIAMIS.2009.5031428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coarse-to-fine moving region segmentation in compressed video
In this paper, we propose a coarse-to-fine segmentation method for extracting moving regions from compressed video. First, motion vectors are clustered to provide a coarse segmentation of moving regions at block level. Second, boundaries between moving regions are identified, and finally, a fine segmentation is performed within boundary regions using edge and color information. Experimental results show that the proposed method can segment moving regions fairly accurately, with sensitivity of 85% or higher, and specificity of over 95%.