{"title":"DISIMA图像DBMS中的相似性查询","authors":"Vincent Oria, M. Tamer Özsu, Shu Lin, P. Iglinski","doi":"10.1145/500141.500216","DOIUrl":null,"url":null,"abstract":"In the DISIMA system, an image is composed of salient objects that are regions of interest in the image. A salient object has some syntactic properties (shape, color, textures) on which some similarity searches are defined. In addition, a global multi-precision image similarity based on multi-scale color histograms allows similarity queries on images and sub-images.","PeriodicalId":416848,"journal":{"name":"MULTIMEDIA '01","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Similarity queries in the DISIMA image DBMS\",\"authors\":\"Vincent Oria, M. Tamer Özsu, Shu Lin, P. Iglinski\",\"doi\":\"10.1145/500141.500216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the DISIMA system, an image is composed of salient objects that are regions of interest in the image. A salient object has some syntactic properties (shape, color, textures) on which some similarity searches are defined. In addition, a global multi-precision image similarity based on multi-scale color histograms allows similarity queries on images and sub-images.\",\"PeriodicalId\":416848,\"journal\":{\"name\":\"MULTIMEDIA '01\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MULTIMEDIA '01\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/500141.500216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MULTIMEDIA '01","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/500141.500216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the DISIMA system, an image is composed of salient objects that are regions of interest in the image. A salient object has some syntactic properties (shape, color, textures) on which some similarity searches are defined. In addition, a global multi-precision image similarity based on multi-scale color histograms allows similarity queries on images and sub-images.