{"created":"2025-01-19T01:37:36.977130+00:00","updated":"2025-01-19T09:28:59.951535+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235877","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235877","title":["野球ゲームにおける盛り上がり箇所の自動検出－画像解析の一考察－"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"5805144e-f1c1-4709-b7ea-ae29136dd0a1"},"_deposit":{"id":"235877","pid":{"type":"depid","value":"235877","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"野球ゲームにおける盛り上がり箇所の自動検出－画像解析の一考察－","author_link":["644585"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"野球ゲームにおける盛り上がり箇所の自動検出－画像解析の一考察－"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","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":"NTTデータ先端技術株式会社"}]},"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/235877/files/IPSJ-Z86-2C-04.pdf","label":"IPSJ-Z86-2C-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-2C-04.pdf","filesize":[{"value":"215.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"7d34c624-e7a1-4ddb-84ff-af1dc7d71951","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"赤木, 信也"}],"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":"動画の盛り上がり箇所の検出は,ハイライト動画の作成に応用することができ,動画編集を手助けできる技術である.盛り上がりと一言で述べても定義は様々であり,「草」や「w」といったコメントに注目したもの,笑い声や相槌に注目したものが存在する.また,ハイライト動画の作成に関する研究として,音声や画像に着目したものがいくつか研究されている.本研究では,過去研究で音声やコメントによる盛り上がり箇所の推定が難しいとされた野球に関する動画として,実際のプロ野球動画よりも形式的で解析しやすそうなプロ野球ゲームを対象とし,画像解析によって盛り上がり箇所（ピンチやチャンス,得点シーン,ホームラン）を自動検出することができないか分析した結果について報告する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"60","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"59","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235877,"links":{}}