{"title":"基于边缘和运动的语义视频对象提取及其在场景合成中的应用","authors":"Yih-Haw Jan, D. Lin","doi":"10.1109/ISCE.2004.1375965","DOIUrl":null,"url":null,"abstract":"The automatic segmentation of natural video for content-based applications is considered. In particular, a segmentation algorithm that uses both motion and edge information is proposed. It applies the edge-linking approach to determine accurately the boundaries of objects and bidirectional motion estimation to track robustly the motion of objects and changes in shape. The design of the algorithm considers computational complexity. Since composition using segmented objects is further considered. A method of enlarging or shrinking objects for such a purpose is described and evaluated. The method is amenable to spatial-scalable coding.","PeriodicalId":169376,"journal":{"name":"IEEE International Symposium on Consumer Electronics, 2004","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Edge-and-motion-based semantic video object extraction and application to scene composition\",\"authors\":\"Yih-Haw Jan, D. Lin\",\"doi\":\"10.1109/ISCE.2004.1375965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The automatic segmentation of natural video for content-based applications is considered. In particular, a segmentation algorithm that uses both motion and edge information is proposed. It applies the edge-linking approach to determine accurately the boundaries of objects and bidirectional motion estimation to track robustly the motion of objects and changes in shape. The design of the algorithm considers computational complexity. Since composition using segmented objects is further considered. A method of enlarging or shrinking objects for such a purpose is described and evaluated. The method is amenable to spatial-scalable coding.\",\"PeriodicalId\":169376,\"journal\":{\"name\":\"IEEE International Symposium on Consumer Electronics, 2004\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Consumer Electronics, 2004\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2004.1375965\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Consumer Electronics, 2004","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2004.1375965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge-and-motion-based semantic video object extraction and application to scene composition
The automatic segmentation of natural video for content-based applications is considered. In particular, a segmentation algorithm that uses both motion and edge information is proposed. It applies the edge-linking approach to determine accurately the boundaries of objects and bidirectional motion estimation to track robustly the motion of objects and changes in shape. The design of the algorithm considers computational complexity. Since composition using segmented objects is further considered. A method of enlarging or shrinking objects for such a purpose is described and evaluated. The method is amenable to spatial-scalable coding.
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