{"title":"直方图在图像检索中的应用","authors":"R. Brunelli, O. Mich","doi":"10.1109/MMCS.1999.778207","DOIUrl":null,"url":null,"abstract":"This paper analyzes the use of histograms of low-level image features, such as color and luminance, as descriptors for image retrieval purposes. The discrimination ability of several descriptors, the issues of histogram size and comparison, are considered in a common statistical framework.","PeriodicalId":408680,"journal":{"name":"Proceedings IEEE International Conference on Multimedia Computing and Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":"{\"title\":\"On the use of histograms for image retrieval\",\"authors\":\"R. Brunelli, O. Mich\",\"doi\":\"10.1109/MMCS.1999.778207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the use of histograms of low-level image features, such as color and luminance, as descriptors for image retrieval purposes. The discrimination ability of several descriptors, the issues of histogram size and comparison, are considered in a common statistical framework.\",\"PeriodicalId\":408680,\"journal\":{\"name\":\"Proceedings IEEE International Conference on Multimedia Computing and Systems\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1999.778207\",\"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 IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1999.778207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper analyzes the use of histograms of low-level image features, such as color and luminance, as descriptors for image retrieval purposes. The discrimination ability of several descriptors, the issues of histogram size and comparison, are considered in a common statistical framework.
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