{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216970","sets":["1164:4619:10826:10881"]},"path":["10881"],"owner":"44499","recid":"216970","title":["自己視点動作映像に対する厳密なアフォーダンスのアノテーション"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-03"},"_buckets":{"deposit":"0a0cefdd-490b-4d9c-9fba-a9b714fe33dc"},"_deposit":{"id":"216970","pid":{"type":"depid","value":"216970","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自己視点動作映像に対する厳密なアフォーダンスのアノテーション","author_link":["561189","561186","561185","561187","561188","561190","561184","561191","561183","561192"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自己視点動作映像に対する厳密なアフォーダンスのアノテーション"},{"subitem_title":"Precise Affordance Annotation for Egocentric Action Video Datasets","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション6-A","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-03-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"東京大学生産技術研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/216970/files/IPSJ-CVIM22229039.pdf","label":"IPSJ-CVIM22229039.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM22229039.pdf","filesize":[{"value":"4.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"b8ec3583-25b4-452f-816d-c524b0089edd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"于, 澤程"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"黄, 逸飛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"古田, 諒佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"郷津, 優介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 洋一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Zecheng, Yu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yifei, Huang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryosuke, Furuta","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yusuke, Goutsu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoichi, Sato","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","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":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge between human ability and object property, and provides fine-grained information for other tasks like activity forecasting, scene understanding, etc. Although affordance is investigated in many previous works, existing affordance datasets failed to distinguish affordance from other concepts like action and function. In this paper, We propose an efficient affordance annotation scheme for egocentric action video datasets to address this issue, which gives a clear and accurate definition of affordance. The scheme was applied to two large-scale egocentric video datasets: EPIC-KITCHENS and HOMAGE, and tested with various benchmark tasks.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge between human ability and object property, and provides fine-grained information for other tasks like activity forecasting, scene understanding, etc. Although affordance is investigated in many previous works, existing affordance datasets failed to distinguish affordance from other concepts like action and function. In this paper, We propose an efficient affordance annotation scheme for egocentric action video datasets to address this issue, which gives a clear and accurate definition of affordance. The scheme was applied to two large-scale egocentric video datasets: EPIC-KITCHENS and HOMAGE, and tested with various benchmark tasks.","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ビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"39","bibliographicVolumeNumber":"2022-CVIM-229"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":216970,"updated":"2025-01-19T15:40:16.501464+00:00","links":{},"created":"2025-01-19T01:17:28.833940+00:00"}