{"title":"Application of content based image retrieval for E-commerce","authors":"V. Kodgirwar","doi":"10.1109/STARTUP.2016.7583906","DOIUrl":null,"url":null,"abstract":"E-purchase is being preferred by millions of consumers over traditional shop purchases, all over the world. So in this case we just focus on CBIR system that will be able to learn user's choices in clothing and help him or her to make the best choices of clothing during e-purchase. This work will emphasize on the images matching aspect of the system only to retrieve relevant clothing as per the user's liking. Now we are applying different texture features for detecting patterns. Texture features are Contrast, Coarsness, Entropy, Energy, Correlation.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STARTUP.2016.7583906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
E-purchase is being preferred by millions of consumers over traditional shop purchases, all over the world. So in this case we just focus on CBIR system that will be able to learn user's choices in clothing and help him or her to make the best choices of clothing during e-purchase. This work will emphasize on the images matching aspect of the system only to retrieve relevant clothing as per the user's liking. Now we are applying different texture features for detecting patterns. Texture features are Contrast, Coarsness, Entropy, Energy, Correlation.