{"id":147156,"updated":"2025-01-20T17:42:29.911705+00:00","links":{},"created":"2025-01-19T00:22:22.742203+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00147156","sets":["1164:4619:8450:8451"]},"path":["8451"],"owner":"11","recid":"147156","title":["コンピュータビジョンはビジョンを超えられるか－CVの発展を概観し、今後への期待を述べる－"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-01-14"},"_buckets":{"deposit":"4039f7d6-7998-468a-9009-b76f58d24bfe"},"_deposit":{"id":"147156","pid":{"type":"depid","value":"147156","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"コンピュータビジョンはビジョンを超えられるか－CVの発展を概観し、今後への期待を述べる－","author_link":["232824","232825"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"コンピュータビジョンはビジョンを超えられるか－CVの発展を概観し、今後への期待を述べる－"},{"subitem_title":"Can Computer Vision Exceed Vision? －Review Development of CV and Describe Future Expectation－","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"CVIM研究会200回記念 特別講演1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-01-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"立命館大学グローバル・イノベーション機構"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The Research Organization of Globel Innovation、Ritsumeikan 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/147156/files/IPSJ-CVIM16200016.pdf","label":"IPSJ-CVIM16200016.pdf"},"date":[{"dateType":"Available","dateValue":"2018-01-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM16200016.pdf","filesize":[{"value":"1.3 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":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"fa61fa48-c05d-4027-bd2c-2b22c25268b9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"白井, 良明"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yoshiaki, Shirai","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":"これは，CVIM 研究会の 200 回を記念した講演の概要である．まず，これまでの発展を概観し，現在の CV の傾向と問題点を述べる．とくに，最近盛んになっている学習による画像認識の限界を指摘する．人の能力に近付けるためには，まだやることがある．そこで，人の視覚能力実現のため，のアプローチとして，これまで筆者が試みてきた研究をいくつか簡単に紹介する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This manuscript is summary of the talk at the 200th meeting of CVIM. First, the development of CV is reviewed, and then the tendency and problems of current CV are described. Especially learning methods for CV are picked up and the current limitations are pointed out. There are many things to be done for approaching human ability. As an approach to human vision ability, several research methods are briefly introduced which the author has attempted.","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":"2016-01-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"16","bibliographicVolumeNumber":"2016-CVIM-200"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}