{"created":"2021-03-01T06:16:09.858605+00:00","id":13240,"links":{},"metadata":{"_buckets":{"deposit":"4c292881-eda3-463a-a5a9-c49395121c70"},"_deposit":{"id":"13240","owners":[],"pid":{"revision_id":0,"type":"depid","value":"13240"},"status":"published"},"_oai":{"id":"oai:soar-ir.repo.nii.ac.jp:00013240","sets":["1221:1307"]},"author_link":["40117","40118"],"item_13_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-09-16","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"60","bibliographicPageStart":"53","bibliographic_titles":[{"bibliographic_title":"The Eighth IAPR Workshop on Document Analysis Systems"}]}]},"item_13_description_20":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a method for document image segmentation based on pLSA (probabilistic latent semantic analysis) model. The pLSA model is originally developed for topic discovery in text analysis using \"bag-of-words\" document representation. The model is useful for image analysis by \"bag-of-visual words\" image representation. The performance of the method depends on the visual vocabulary generated by feature extraction from the document image. We compare several feature extraction and description methods, and examine the relations to segmentation performance. Through the experiments, we show accurate content-based document segmentation is made possible by using pLSA-based method.","subitem_description_type":"Abstract"}]},"item_13_description_30":{"attribute_name":"資源タイプ（コンテンツの種類）","attribute_value_mlt":[{"subitem_description":"Article","subitem_description_type":"Other"}]},"item_13_description_5":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"The Eighth IAPR Workshop on Document Analysis Systems","subitem_description_type":"Other"}]},"item_13_link_3":{"attribute_name":"信州大学研究者総覧へのリンク","attribute_value_mlt":[{"subitem_link_text":"MARUYAMA, Minoru","subitem_link_url":"http://soar-rd.shinshu-u.ac.jp/profile/ja.WCnCbpkh.html"}]},"item_13_publisher_4":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE computer society"}]},"item_13_relation_34":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-0-7695-3337-7","subitem_relation_type_select":"ISBN"}}]},"item_13_relation_48":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"10.1109/DAS.2008.48"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/DAS.2008.48","subitem_relation_type_select":"DOI"}}]},"item_1627890897769":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"MARUYAMA,  Minoru"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"YAMAGUCHI,  Takuma"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2015-09-28"}],"displaytype":"detail","filename":"das2008.pdf","filesize":[{"value":"2.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"das2008.pdf","url":"https://soar-ir.repo.nii.ac.jp/record/13240/files/das2008.pdf"},"version_id":"93c4fac4-64dc-48ed-a73f-4834ec85bce7"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Feature extraction for document image segmentation by pLSA model","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Feature extraction for document image segmentation by pLSA model","subitem_title_language":"en"}]},"item_type_id":"13","owner":"1","path":["1307"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2011-04-06"},"publish_date":"2011-04-06","publish_status":"0","recid":"13240","relation_version_is_last":true,"title":["Feature extraction for document image segmentation by pLSA model"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-12-14T04:41:28.869399+00:00"}