{"title":"一种图像数据库的体系结构","authors":"R. Parekh","doi":"10.1109/ICIT.2006.85","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of searching and retrieval in an image database by considering a layered approach - a \"physical\" layer which handles physical attributes of image files and a \"features\" layer which handles color based features of images. Color information is represented both by local and global histogram approaches in the HSV color space and comparison is done using \"color moments\" of global HSV histograms and Euclidean distances between cellular color values.","PeriodicalId":161120,"journal":{"name":"9th International Conference on Information Technology (ICIT'06)","volume":"350 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards an Architecture of an Image Database\",\"authors\":\"R. Parekh\",\"doi\":\"10.1109/ICIT.2006.85\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of searching and retrieval in an image database by considering a layered approach - a \\\"physical\\\" layer which handles physical attributes of image files and a \\\"features\\\" layer which handles color based features of images. Color information is represented both by local and global histogram approaches in the HSV color space and comparison is done using \\\"color moments\\\" of global HSV histograms and Euclidean distances between cellular color values.\",\"PeriodicalId\":161120,\"journal\":{\"name\":\"9th International Conference on Information Technology (ICIT'06)\",\"volume\":\"350 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"9th International Conference on Information Technology (ICIT'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2006.85\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th International Conference on Information Technology (ICIT'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2006.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper addresses the problem of searching and retrieval in an image database by considering a layered approach - a "physical" layer which handles physical attributes of image files and a "features" layer which handles color based features of images. Color information is represented both by local and global histogram approaches in the HSV color space and comparison is done using "color moments" of global HSV histograms and Euclidean distances between cellular color values.
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