{"title":"整合句法和语义特征的视频索引","authors":"Bilge Günsel, A. Ferman, A. Tekalp","doi":"10.1109/ACV.1996.572007","DOIUrl":null,"url":null,"abstract":"This paper proposes a content-based video indexing system which provides the functionalities necessary for automatic management of video data through integration of syntactic and semantic features. The proposed system has been applied to detection, classification and then indexing of news programs collected from different TV channels. Although the paper focuses on news programs, the same methods can be used to extent-based index and search other TV programs with distinct semantic structure.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Video indexing through integration of syntactic and semantic features\",\"authors\":\"Bilge Günsel, A. Ferman, A. Tekalp\",\"doi\":\"10.1109/ACV.1996.572007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a content-based video indexing system which provides the functionalities necessary for automatic management of video data through integration of syntactic and semantic features. The proposed system has been applied to detection, classification and then indexing of news programs collected from different TV channels. Although the paper focuses on news programs, the same methods can be used to extent-based index and search other TV programs with distinct semantic structure.\",\"PeriodicalId\":222106,\"journal\":{\"name\":\"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACV.1996.572007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACV.1996.572007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video indexing through integration of syntactic and semantic features
This paper proposes a content-based video indexing system which provides the functionalities necessary for automatic management of video data through integration of syntactic and semantic features. The proposed system has been applied to detection, classification and then indexing of news programs collected from different TV channels. Although the paper focuses on news programs, the same methods can be used to extent-based index and search other TV programs with distinct semantic structure.
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