{"title":"基于CTS的服装图像搜索系统","authors":"O. Yi, Sanyuan Zhang","doi":"10.1109/ICCSN.2009.34","DOIUrl":null,"url":null,"abstract":"One of the main difficulties in Clothes image searching is the variability of appearance of an object of interest. Clothes image feature extraction is a very active research area under this situation. Through build a Clothes concept semantic structure Clothes Tree Semantic Structure, the Clothes Image Searching System based on Scale Invariant Feature Transform(SIFT) is proposed in the paper. Experiment on an image database of about 5,000 general-purpose images, results show that our algorithm is more efficient than existing algorithms based on color histogram or corners features","PeriodicalId":177679,"journal":{"name":"2009 International Conference on Communication Software and Networks","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Clothes Image Searching System Based on CTS\",\"authors\":\"O. Yi, Sanyuan Zhang\",\"doi\":\"10.1109/ICCSN.2009.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the main difficulties in Clothes image searching is the variability of appearance of an object of interest. Clothes image feature extraction is a very active research area under this situation. Through build a Clothes concept semantic structure Clothes Tree Semantic Structure, the Clothes Image Searching System based on Scale Invariant Feature Transform(SIFT) is proposed in the paper. Experiment on an image database of about 5,000 general-purpose images, results show that our algorithm is more efficient than existing algorithms based on color histogram or corners features\",\"PeriodicalId\":177679,\"journal\":{\"name\":\"2009 International Conference on Communication Software and Networks\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Communication Software and Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2009.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2009.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One of the main difficulties in Clothes image searching is the variability of appearance of an object of interest. Clothes image feature extraction is a very active research area under this situation. Through build a Clothes concept semantic structure Clothes Tree Semantic Structure, the Clothes Image Searching System based on Scale Invariant Feature Transform(SIFT) is proposed in the paper. Experiment on an image database of about 5,000 general-purpose images, results show that our algorithm is more efficient than existing algorithms based on color histogram or corners features
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