{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216002","sets":["1164:6757:10770:10771"]},"path":["10771"],"owner":"44499","recid":"216002","title":["映像監視システムにおける3次元姿勢推定に基づくベストショット抽出のための顔画像のスコアリング方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-01-13"},"_buckets":{"deposit":"c7dd3e66-490c-4a22-ad44-1f50029d1c71"},"_deposit":{"id":"216002","pid":{"type":"depid","value":"216002","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"映像監視システムにおける3次元姿勢推定に基づくベストショット抽出のための顔画像のスコアリング方式","author_link":["556887","556880","556881","556886","556884","556882","556885","556883"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"映像監視システムにおける3次元姿勢推定に基づくベストショット抽出のための顔画像のスコアリング方式"},{"subitem_title":"Face Image Scoring Method for Best Shot Extraction Based on 3D Pose Estimation in Video Surveillance Systems","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":" 画像・映像","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-01-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京電機大学"},{"subitem_text_value":"三菱電機株式会社"},{"subitem_text_value":"三菱電機株式会社"},{"subitem_text_value":"東京電機大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Denki University","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Denki University","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/216002/files/IPSJ-DCC22030022.pdf","label":"IPSJ-DCC22030022.pdf"},"date":[{"dateType":"Available","dateValue":"2024-01-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DCC22030022.pdf","filesize":[{"value":"2.1 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":"50"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"02c2a3e1-4afa-4bc5-9b40-ebe9faa5aeee","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":"久米, 孝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"皆川, 純"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山﨑, 賢人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"阿倍, 博信"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takashi, Kume","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Jun, Minagawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kento, Yamazaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hironobu, Abe","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628338","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":"2188-8868","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，顔の 3 次元再構成への要求が高まっている．しかし，その品質は顔の向き，照明環境などによって左右される．そこで，様々な観点から 3 次元顔再構成のためにスコアリングすることで，最適な顔画像の抽出が可能となり，様々なシーンで顔の 3D モデルの活用が期待できる．このような背景のもと，筆者らは先行研究において正面画像との類似度に基づく顔画像のスコアリング方式を提案したが，着目する顔の特徴が不明瞭であった．そこで，本論文では，顔の姿勢がスコアリングに与える影響を評価するため，顔の向きと解像度にのみ着目した機械学習によるスコアリングモデルを生成する方式について述べる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper describes a face image scoring method for 3D face reconstruction in the video surveillance fields. In recent years, 3D face reconstruction has been introduced to several fields, so the demand for it is increasing. However, qualities of reconstructed faces are affected by face orientation, facial expression, or environments. Considering this issue, we have proposed the scoring method which enables the video surveillance systems extract a best face image for the 3D face reconstruction from video frames. In our previous work, we proposed a method focused on the face similarities with frontal face images. However, it was unclear which feature this method is focusing on. Against this background, we consider the new method which evaluates scores using facial orientations and resolutions. In this paper, we describe a scoring model using machine learning and evaluations to clarify the effect of facial orientations and resolutions on scoring.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告デジタルコンテンツクリエーション（DCC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-01-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicVolumeNumber":"2022-DCC-30"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":216002,"updated":"2025-01-19T15:58:07.322520+00:00","links":{},"created":"2025-01-19T01:16:44.025013+00:00"}