{"updated":"2025-01-19T07:55:59.615960+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240583","sets":["1164:4061:11479:11787"]},"path":["11787"],"owner":"44499","recid":"240583","title":["LLMによるシーン中の物体の形容記述を用いた景観画像の印象予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-11"},"_buckets":{"deposit":"362dc049-e5bc-4c12-8ecf-04f75db9fd00"},"_deposit":{"id":"240583","pid":{"type":"depid","value":"240583","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"LLMによるシーン中の物体の形容記述を用いた景観画像の印象予測","author_link":["660304","660302","660305","660303"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LLMによるシーン中の物体の形容記述を用いた景観画像の印象予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"AI","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-11-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京科学大学情報理工学院情報工学系"},{"subitem_text_value":"東京科学大学情報理工学院情報工学系"},{"subitem_text_value":"LINEヤフー株式会社"},{"subitem_text_value":"東京科学大学情報理工学院情報工学系"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"School of Computing, Department of Computer Science, Institute of Science Tokyo","subitem_text_language":"en"},{"subitem_text_value":"School of Computing, Department of Computer Science, Institute of Science Tokyo","subitem_text_language":"en"},{"subitem_text_value":"LY Corporation","subitem_text_language":"en"},{"subitem_text_value":"School of Computing, Department of Computer Science, Institute of Science Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/240583/files/IPSJ-UBI24084008.pdf","label":"IPSJ-UBI24084008.pdf"},"date":[{"dateType":"Available","dateValue":"2026-11-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI24084008.pdf","filesize":[{"value":"9.6 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":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6c6534bf-c7d8-4619-8f17-5b2dc46f52b8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井手, 海翔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安納, 爽響"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坪内, 孝太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"下坂, 正倫"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，都市景観画像に対して，人々が抱く印象を数値評価することが，都市開発や土地ブランディングに役立つとされ研究が進んでいる．既存研究では，景観画像のシーン全体をひとつの物体と仮定する，物体認識ベースの数値予測が中心であったが，シーン内の個々の物体を検出し，検出領域での画像特徴から数値を予測する手法へと進展している．この流れは，シーン全体をベースとする手法の場合，物体のクラスや局所的な特徴を捉えることが困難なために，印象の数値予測の性能が限定的であったことに起因する．一方，物体検出に特化した画像特徴は，景観の印象評価に直接関連性があるとは言いがたい．そこで本研究では，景観画像のシーン中の物体検出に加え，物体等シーン構成要素の形容に関する記述を積極的に活用し，印象予測精度の向上につながるモデルを提案する．その際，印象評価に有効な形容記述の模索の効率化のため，大規模言語モデル（Large Language Model; LLM）を活用する．クラウドソーシングで得た印象評価データセットを用いて，既存手法と提案手法の予測性能を比較することで，提案手法の有用性を示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicVolumeNumber":"2024-UBI-84"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:44:51.509593+00:00","id":240583,"links":{}}