{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221367","sets":["6504:11035:11042"]},"path":["11042"],"owner":"44499","recid":"221367","title":["モバイル端末上におけるプライバシ保護可能な画像認識モデル構築手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"599c19b5-4376-48cb-adcd-a85078262583"},"_deposit":{"id":"221367","pid":{"type":"depid","value":"221367","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"モバイル端末上におけるプライバシ保護可能な画像認識モデル構築手法の提案","author_link":["579547","579546","579545","579548"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"モバイル端末上におけるプライバシ保護可能な画像認識モデル構築手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","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":"お茶の水女子大"},{"subitem_text_value":"工学院大"},{"subitem_text_value":"長崎大"},{"subitem_text_value":"お茶の水女子大"}]},"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/221367/files/IPSJ-Z84-5ZB-08.pdf","label":"IPSJ-Z84-5ZB-08.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-5ZB-08.pdf","filesize":[{"value":"508.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"5132b378-d429-4f55-964c-e33f5b63fe8d","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":"近藤, 華"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 実靖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"神山, 剛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小口, 正人"}],"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":"近年，Androidなどのスマートフォンを始めとするモバイル端末上において顔認識，ジェスチャー認識など深層学習を用いた画像認識技術が活用されている．それと同時に，モバイル端末内のプロセッサの高性能化が進んでいる．また，モバイル端末の高機能化が進むことで，プライバシーの保護のためモバイル端末に保存した画像データを外部に送信したくはないが，それらの画像データから得られた情報を用いた画像認識を行う仕組みが求められるようになると考えられる．そこで本研究では，Android端末の高性能プロセッサを利用し，端末上のみで精度の高いパーソナライズ化された画像認識モデルを構築する手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"394","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"393","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:22.279617+00:00","updated":"2025-01-19T14:11:24.805437+00:00","id":221367}