文章基本信息

标题：Image Search in Social Websites Using Tags and Re-Ranking Method
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作者：B.Lalu ; G.Sindhu ; G.Monika 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：6066
DOI：10.15680/IJIRCCE.2017.0503365
出版社：S&S Publications
摘要：In recent years, we have observed the achievement of social media websites. This image search methodby using tags and re ranking is a technique, which is used for easy access for images. Online networking sites likeFlickr will allow the users to comment on images along with the label. This will improve the web image discovery andaffiliation. In this paper we introduce a social re-positioning framework for tag-based images with image importanceand high quality. We give the position of images by taking their visual data, semantic data, and social signs intoconsideration. This will result in an appropriate manner for the social clients. Every user will share some images, herewe sort these images between the users by repositioning them. Users who have higher commitment will be ranked high.In this point we successfully tell about intra-client re-positioning on the user’s set of images. The most pertinent imageswill be chosen from every user and these images will be put as an image dataset to quicken the procedure. Test on thisdataset demonstrate that our social re-positioning technique is successful and effective.
关键词：social media; image search; intra-client repositioning; Tag based image re-ranking.