{"title":"Flickr的标签相似度","authors":"A. Tungkasthan, S. Intarasema, W. Premchaiswadi","doi":"10.1109/ICTKE.2012.6152404","DOIUrl":null,"url":null,"abstract":"This paper presents the image retrieval results obtained by the Flickr website based on using the combination of keywords and tags for retrieving images. The aim of this paper is to improve the accuracy of the image search results returned by an image search engine, Flickr. In order to improve the retrieval performance of images, sixty keywords in various categories are used for testing based on the Flickr image database. The results show that the proposed system returned more accurate results than the results obtained from an existing Flickr system.","PeriodicalId":235347,"journal":{"name":"2011 Ninth International Conference on ICT and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tag similarity for Flickr\",\"authors\":\"A. Tungkasthan, S. Intarasema, W. Premchaiswadi\",\"doi\":\"10.1109/ICTKE.2012.6152404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the image retrieval results obtained by the Flickr website based on using the combination of keywords and tags for retrieving images. The aim of this paper is to improve the accuracy of the image search results returned by an image search engine, Flickr. In order to improve the retrieval performance of images, sixty keywords in various categories are used for testing based on the Flickr image database. The results show that the proposed system returned more accurate results than the results obtained from an existing Flickr system.\",\"PeriodicalId\":235347,\"journal\":{\"name\":\"2011 Ninth International Conference on ICT and Knowledge Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Ninth International Conference on ICT and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTKE.2012.6152404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Ninth International Conference on ICT and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE.2012.6152404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the image retrieval results obtained by the Flickr website based on using the combination of keywords and tags for retrieving images. The aim of this paper is to improve the accuracy of the image search results returned by an image search engine, Flickr. In order to improve the retrieval performance of images, sixty keywords in various categories are used for testing based on the Flickr image database. The results show that the proposed system returned more accurate results than the results obtained from an existing Flickr system.
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