{"links":{},"id":228260,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00228260","sets":["6164:6165:6640:11353"]},"path":["11353"],"owner":"44499","recid":"228260","title":["VRObjFinder:VR空間制作支援のための大規模言語モデルを用いた3DCGオブジェクト自動選択手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-06-28"},"_buckets":{"deposit":"08368e35-4d2c-4110-95b1-e794be68eb64"},"_deposit":{"id":"228260","pid":{"type":"depid","value":"228260","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"VRObjFinder:VR空間制作支援のための大規模言語モデルを用いた3DCGオブジェクト自動選択手法","author_link":["609413","609412"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"VRObjFinder:VR空間制作支援のための大規模言語モデルを用いた3DCGオブジェクト自動選択手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"VR・遠隔コミュニケーション，グループウェア","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2023-06-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"武蔵野大学データサイエンス学部"},{"subitem_text_value":"武蔵野大学データサイエンス学部"}]},"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/228260/files/IPSJ-DICOMO2023230.pdf","label":"IPSJ-DICOMO2023230.pdf"},"date":[{"dateType":"Available","dateValue":"2025-06-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2023230.pdf","filesize":[{"value":"2.6 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":"44"}],"accessrole":"open_date","version_id":"934d454c-da7e-4c84-a463-bef3a6e2b823","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"阿部, 広夢"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 亮太"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"3DWeb 空間制作技術の発展やプラットフォームの普及から個人の VR 空間制作が広がりつつある．しかし VR 空間のデザイニングコストや 3DCG オブジェクトに関連する課題など，未だ VR 空間の個人制作にはいくつかの問題があると考えられる．本論文では近年普及している大規模言語モデルを用いて 3DCG オブジェクトの種類や特徴，個数を出力し，画像分類モデルと 3DCG オブジェクトデータセットを用いて 3DWeb 空間を構成する 3DCG オブジェクトを自動的に選定する手法 VRObjFinder を提案する．評価実験では定性評価により自然言語から出力された 3DCG オブジェクトの種類や特徴，3DCG オブジェクトがユーザの意図に適合したことを確かめ，また大規模言語モデルが示した 3DCG オブジェクトの個数については空間の規模によって変化させることを確かめた．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1656","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散，協調とモバイルシンポジウム2023論文集"}],"bibliographicPageStart":"1649","bibliographicIssueDates":{"bibliographicIssueDate":"2023-06-28","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:27:29.746947+00:00","updated":"2025-01-19T11:54:09.392532+00:00"}