{"title":"基于内容的多媒体信息管理","authors":"R. Jain","doi":"10.1109/ICDE.1998.655783","DOIUrl":null,"url":null,"abstract":"Summary form only given. All image search engines provide mechanisms to search based on keywords and provide the ability to do content-based searching using querying by pictorial example. In this paper, first we present some results from current image databases. Then we present a new approach to exploring image databases. Most of our current results are drawn from image and video asset management systems designed at Virage. The new approach is based on a navigational paradigm being developed at the University of California, San Diego.","PeriodicalId":264926,"journal":{"name":"Proceedings 14th International Conference on Data Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Content-based multimedia information management\",\"authors\":\"R. Jain\",\"doi\":\"10.1109/ICDE.1998.655783\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. All image search engines provide mechanisms to search based on keywords and provide the ability to do content-based searching using querying by pictorial example. In this paper, first we present some results from current image databases. Then we present a new approach to exploring image databases. Most of our current results are drawn from image and video asset management systems designed at Virage. The new approach is based on a navigational paradigm being developed at the University of California, San Diego.\",\"PeriodicalId\":264926,\"journal\":{\"name\":\"Proceedings 14th International Conference on Data Engineering\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 14th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1998.655783\",\"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 14th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1998.655783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Summary form only given. All image search engines provide mechanisms to search based on keywords and provide the ability to do content-based searching using querying by pictorial example. In this paper, first we present some results from current image databases. Then we present a new approach to exploring image databases. Most of our current results are drawn from image and video asset management systems designed at Virage. The new approach is based on a navigational paradigm being developed at the University of California, San Diego.