文章基本信息

标题：Mining Large-Scale Social Images with Rich Metadata and Its Application
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作者：Liu, Zheng ; Yan, Hua ; Han, Huijian 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2012
卷号：7
期号：4
页码：749-756
DOI：10.4304/jsw.7.4.749-756
语种：English
出版社：Academy Publisher
摘要：In this paper, we study on how to automatically mine landmarks from large-scale social images with rich metadata. Firstly, location name is submitted to social image community, and then related social images with rich metadata are obtained. Afterwards, these social images are clustered according to different kinds of metadata of images, and candidate landmarks are mined from the images clustering results. Next, noisy landmarks are pruned from candidate landmarks by computing geographical entropy and time entropy. Experiments conducted on Flickr photos demonstrate the effectiveness of the proposed approach and our approach can also provide useful information for tourists to make tourist plans.
关键词：Landmarks; Social Images; Co-clustering; Metadata Similarity