{"title":"A survey on content based image retrieval","authors":"T. Dharani, I. L. Aroquiaraj","doi":"10.1109/ICPRIME.2013.6496719","DOIUrl":null,"url":null,"abstract":"Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.","PeriodicalId":123210,"journal":{"name":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"48","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPRIME.2013.6496719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 48
Abstract
Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.