{"title":"大型多媒体应用的时空索引","authors":"Y. Theodoridis, M. Vazirgiannis, T. Sellis","doi":"10.1109/MMCS.1996.535011","DOIUrl":null,"url":null,"abstract":"Multimedia applications usually involve a large number of multimedia objects (texts, images, sounds, etc.). Spatial and temporal relationships among these objects should be efficiently supported and retrieved within a multimedia authoring tool. In this paper, we present several spatial, temporal and spatio-temporal relationships of interest, and propose efficient indexing schemes, based on multidimensional (spatial) data structures, for large multimedia applications that involve thousands of objects. Evaluation models of the proposed schemes are also presented, as well as hints for the selection of the most appropriate one, according to the multimedia author's requirements.","PeriodicalId":371043,"journal":{"name":"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems","volume":"186 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"329","resultStr":"{\"title\":\"Spatio-temporal indexing for large multimedia applications\",\"authors\":\"Y. Theodoridis, M. Vazirgiannis, T. Sellis\",\"doi\":\"10.1109/MMCS.1996.535011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multimedia applications usually involve a large number of multimedia objects (texts, images, sounds, etc.). Spatial and temporal relationships among these objects should be efficiently supported and retrieved within a multimedia authoring tool. In this paper, we present several spatial, temporal and spatio-temporal relationships of interest, and propose efficient indexing schemes, based on multidimensional (spatial) data structures, for large multimedia applications that involve thousands of objects. Evaluation models of the proposed schemes are also presented, as well as hints for the selection of the most appropriate one, according to the multimedia author's requirements.\",\"PeriodicalId\":371043,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems\",\"volume\":\"186 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"329\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1996.535011\",\"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 the Third IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1996.535011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatio-temporal indexing for large multimedia applications
Multimedia applications usually involve a large number of multimedia objects (texts, images, sounds, etc.). Spatial and temporal relationships among these objects should be efficiently supported and retrieved within a multimedia authoring tool. In this paper, we present several spatial, temporal and spatio-temporal relationships of interest, and propose efficient indexing schemes, based on multidimensional (spatial) data structures, for large multimedia applications that involve thousands of objects. Evaluation models of the proposed schemes are also presented, as well as hints for the selection of the most appropriate one, according to the multimedia author's requirements.