文章基本信息

标题：A Robust Clustering Method for Missing Metadata in Image Search Results
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作者：Masaharu Hirota ; Naoki Fukuta ; Shohei Yokoyama 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2012
卷号：7
期号：3
页码：1151-1161
DOI：10.11185/imt.7.1151
出版社：Information and Media Technologies Editorial Board
摘要：Although metadata are useful to obtain better clustering results on image clustering, some images do not have social tags or metadata about photo-taking conditions. In this paper, we propose an image clustering method that is robust for those missing metadata of photo images that appear in search results on the Web. The method has an integrated estimation mechanism for missing social tags or photo-taking conditions from other images in the image search result. An advantage of our method is that our approach does not require another training set that is constructed from other images that are not included in the search result. We demonstrate that the proposed method can effectively cluster images which have some missing metadata by showing the performance of on-demand clustering on a photo sharing site.
关键词：image search;image clustering;metadata estimation