A Robust Clustering Method for Missing Metadata in Image Search Results

• Item type: JInfP(1)
• 公開日: 2012-07-15
• タイトル: A Robust Clustering Method for Missing Metadata in Image Search Results
• タイトル / 言語: en
• タイトル: A Robust Clustering Method for Missing Metadata in Image Search Results
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [Special Issue on Theory and Application of Intelligent Information Technology] image search, image clustering, metadata estimation
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Informatics, Shizuoka University／Presently with Graduate School of Science and Technology, Shizuoka University
• 著者所属: Faculty of Informatics, Shizuoka University
• 著者所属: Faculty of Informatics, Shizuoka University
• 著者所属: Faculty of Informatics, Shizuoka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Shizuoka University / Presently with Graduate School of Science and Technology, Shizuoka University
• 著者所属(英): en
• 著者所属(英): Faculty of Informatics, Shizuoka University
• 著者所属(英): en
• 著者所属(英): Faculty of Informatics, Shizuoka University
• 著者所属(英): en
• 著者所属(英): Faculty of Informatics, Shizuoka University
• 著者名: Masaharu, Hirota; Naoki, Fukuta; Shohei, Yokoyama; Hiroshi, Ishikawa
• 著者名(英): Masaharu, Hirota; Naoki, Fukuta; Shohei, Yokoyama; Hiroshi, Ishikawa
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA00700121
• 書誌情報: Journal of information processing; 巻 20, 号 3, p. 537-547, 発行日 2012-07-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6652
• 出版者 / 言語: ja
• 出版者: 情報処理学会