{"id":82236,"updated":"2025-01-20T06:51:37.997439+00:00","links":{},"created":"2025-01-18T23:36:09.908439+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00082236","sets":["581:6644:6781"]},"path":["6781"],"owner":"11","recid":"82236","title":["A Robust Clustering Method for Missing Metadata in Image Search Results"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-05-15"},"_buckets":{"deposit":"635535b8-0219-4a92-b0a7-5ea55a6d25fa"},"_deposit":{"id":"82236","pid":{"type":"depid","value":"82236","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"A Robust Clustering Method for Missing Metadata in Image Search Results","author_link":["357878","357875","357879","357880","357882","357881","357876","357877"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Robust Clustering Method for Missing Metadata in Image Search Results"},{"subitem_title":"A Robust Clustering Method for Missing Metadata in Image Search Results","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[Special Issue on Theory and Application of Intelligent Information Technology] image search, image clustering, metadata estimation","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2012-05-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Shizuoka University／Presently with Graduate School of Science and Technology, Shizuoka University"},{"subitem_text_value":"Faculty of Informatics, Shizuoka University"},{"subitem_text_value":"Faculty of Informatics, Shizuoka University"},{"subitem_text_value":"Faculty of Informatics, Shizuoka University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Shizuoka University / Presently with Graduate School of Science and Technology, Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Informatics, Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Informatics, Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Informatics, Shizuoka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"publish_status":"0","weko_shared_id":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/82236/files/IPSJ-JNL5305004.pdf","label":"IPSJ-JNL5305004"},"date":[{"dateType":"Available","dateValue":"2014-05-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5305004.pdf","filesize":[{"value":"3.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2edc4c6a-088e-46c2-83c8-b604e93da3f2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2012 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masaharu, Hirota"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoki, Fukuta"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shohei, Yokoyama"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, Ishikawa"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masaharu, Hirota","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoki, Fukuta","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shohei, Yokoyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, Ishikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"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.\n\n------------------------------ \nThis is a preprint of an article intended for publication Journal of \nInformation Processing(JIP). This preprint should not be cited. This \narticle should be cited as: Journal of Information Processing Vol.20(2012) No.3 (online) \nDOI　http://dx.doi.org/10.2197/ipsjjip.20.537\n------------------------------ \n","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.\n\n------------------------------ \nThis is a preprint of an article intended for publication Journal of \nInformation Processing(JIP). This preprint should not be cited. This \narticle should be cited as: Journal of Information Processing Vol.20(2012) No.3 (online) \nDOI　http://dx.doi.org/10.2197/ipsjjip.20.537\n------------------------------ \n","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2012-05-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"53"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}