{"title":"对象数据库管理系统中视频空间关系的建模","authors":"John Z. Li, M. Tamer Özsu, D. Szafron","doi":"10.1109/MMDBMS.1996.541863","DOIUrl":null,"url":null,"abstract":"A key aspect in video modeling is spatial relationships. We propose a spatial representation for specifying the spatial semantics of video data. Based on such a representation, a set of spatial relationships for salient objects is defined to support qualitative and quantitative spatial properties. The model captures both topological and directional spatial relationships. We present a novel way of incorporating this model into a video model, and integrating the abstract video model into an object database management system which has rich multimedia temporal operations. The integrated model is further enhanced by a spatial inference engine. The powerful expressiveness of our video model is validated by some query examples.","PeriodicalId":170651,"journal":{"name":"Proceedings of International Workshop on Multimedia Database Management Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"48","resultStr":"{\"title\":\"Modeling of video spatial relationships in an object database management system\",\"authors\":\"John Z. Li, M. Tamer Özsu, D. Szafron\",\"doi\":\"10.1109/MMDBMS.1996.541863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A key aspect in video modeling is spatial relationships. We propose a spatial representation for specifying the spatial semantics of video data. Based on such a representation, a set of spatial relationships for salient objects is defined to support qualitative and quantitative spatial properties. The model captures both topological and directional spatial relationships. We present a novel way of incorporating this model into a video model, and integrating the abstract video model into an object database management system which has rich multimedia temporal operations. The integrated model is further enhanced by a spatial inference engine. The powerful expressiveness of our video model is validated by some query examples.\",\"PeriodicalId\":170651,\"journal\":{\"name\":\"Proceedings of International Workshop on Multimedia Database Management Systems\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"48\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Workshop on Multimedia Database Management Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMDBMS.1996.541863\",\"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 of International Workshop on Multimedia Database Management Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMDBMS.1996.541863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of video spatial relationships in an object database management system
A key aspect in video modeling is spatial relationships. We propose a spatial representation for specifying the spatial semantics of video data. Based on such a representation, a set of spatial relationships for salient objects is defined to support qualitative and quantitative spatial properties. The model captures both topological and directional spatial relationships. We present a novel way of incorporating this model into a video model, and integrating the abstract video model into an object database management system which has rich multimedia temporal operations. The integrated model is further enhanced by a spatial inference engine. The powerful expressiveness of our video model is validated by some query examples.