{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00217344","sets":["1164:3206:10884:10885"]},"path":["10885"],"owner":"44499","recid":"217344","title":["絵画に対する感情表現を考慮したスタイル変換"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-04"},"_buckets":{"deposit":"bdc850f6-bb03-415d-a9c7-a2ad73f4e6a1"},"_deposit":{"id":"217344","pid":{"type":"depid","value":"217344","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"絵画に対する感情表現を考慮したスタイル変換","author_link":["563002","563004","563003"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"絵画に対する感情表現を考慮したスタイル変換"},{"subitem_title":"Style Transfer of Painting by Emotional Expressions","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"深層学習ベース画像処理","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-03-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"豊橋技術科学大学"},{"subitem_text_value":"豊橋技術科学大学"},{"subitem_text_value":"豊橋技術科学大学／株式会社サイバーエージェント"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"TUT","subitem_text_language":"en"},{"subitem_text_value":"TUT","subitem_text_language":"en"},{"subitem_text_value":"TUT / CyberAgent inc.","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/217344/files/IPSJ-CG22185011.pdf","label":"IPSJ-CG22185011.pdf"},"date":[{"dateType":"Available","dateValue":"2024-03-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CG22185011.pdf","filesize":[{"value":"8.0 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":"28"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"769863ab-6977-4cf5-93b6-9b6a3e9bee35","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"刀根, 千尋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"髙橋, 遼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"栗山, 繁"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10100541","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":"2188-8949","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，深層学習によるアート画像を対象としたスタイル変換手法が盛んに研究されており，自然画像の高度な意味情報を取得しながらその固有表現を保ちつつ任意の画風にスタイル変換する手法や，自然言語を入力としてアート画像を生成・変換する手法等が提案されている．アート作品はしばしば鑑賞者が引き起こす感情的効果を意図して制作されるため，自然画像と比較して感情表現を多く含む．したがって，絵画を対象とした既存のスタイル変換手法では画風の変換を主な目的としているが，感情を入力としてアート画像をスタイル変換する手法の開拓が望まれる．また機械学習において，画像から得られる視覚的作用とその感情的効果への理解を深めることは，生成モデルにおける表現力を高めることにも大きく貢献することが期待される．そこで本研究では，絵画の感情表現に着目し，感情識別モデルを学習して VQGAN による画像の変換を最適化するスタイル変換手法を提案する．ArtEmis データセットを用いた変換結果により，色彩だけでなく質感による感情表現を考慮した変換画像が得られたことを確認し，ユーザ評価によりその有効性と今後の課題を調査した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Many style transfer methods have recently been proposed using deep learning to transform natural scene images into arbitrary styles while maintaining intrinsic expressions. In addition, some methods estimate high-level semantic information for transferring art images via natural language. Since artworks are often created to produce emotional effects, they contain more emotional expressions than natural images. However, existing style transformations mainly focus on only painting styles, and it is desirable to develop a method using emotions as input. In this study, we propose a style transfer method using VQGAN by learning an emotion discrimination model, focusing on the emotional expression of paintings. Experiments with the ArtEmis dataset show that the images can be stylized, reflecting the emotional expression based on colors and textures.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータグラフィックスとビジュアル情報学（CG）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2022-CG-185"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":217344,"updated":"2025-01-19T15:31:58.587283+00:00","links":{},"created":"2025-01-19T01:17:50.478134+00:00"}