{"updated":"2025-01-19T13:59:07.728936+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221857","sets":["6504:11035:11039"]},"path":["11039"],"owner":"44499","recid":"221857","title":["深層学習を用いた削り屑木簡のグループ化と再構成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"f2334b39-b7d8-4135-b4f4-ca3b67a8cece"},"_deposit":{"id":"221857","pid":{"type":"depid","value":"221857","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を用いた削り屑木簡のグループ化と再構成","author_link":["581047","581049","581048","581050"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を用いた削り屑木簡のグループ化と再構成"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2022-02-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"埼玉工大"},{"subitem_text_value":"奈良文化財研"},{"subitem_text_value":"奈良文化財研"},{"subitem_text_value":"埼玉工大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/221857/files/IPSJ-Z84-4ZK-02.pdf","label":"IPSJ-Z84-4ZK-02.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-4ZK-02.pdf","filesize":[{"value":"539.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"b85ef15c-3152-4998-8bd0-2c9301a76ea1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山田, 海人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"畑野, 吉則"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"馬場, 基"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大山, 航"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"木簡とは、日本において7世紀後半から10世紀前半頃までの紙が低品質、貴重であった時代に用いられていた古文書の一種である。木簡は表面を削り再利用されていたため、現在出土している木簡のほとんどが削り屑の状態であり、記述内容の解読はは不可能に近い。歴史学研究者においても削り屑の再構成は困難であり、コンピュータによる支援が求められている。本研究では、深層学習を用いた削り屑木簡画像のグループ化と再構成のための手法を提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"808","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"807","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:50.551650+00:00","id":221857,"links":{}}