{"updated":"2025-01-19T10:13:13.417624+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233080","sets":["1164:4088:11480:11520"]},"path":["11520"],"owner":"44499","recid":"233080","title":["CNNノードのレスポンスを活用した知覚ハッシュ"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-05"},"_buckets":{"deposit":"a7fa4a2a-761d-41c9-98d5-52504cf56823"},"_deposit":{"id":"233080","pid":{"type":"depid","value":"233080","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CNNノードのレスポンスを活用した知覚ハッシュ","author_link":["632313","632318","632316","632315","632311","632314","632312","632317"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CNNノードのレスポンスを活用した知覚ハッシュ"},{"subitem_title":"Perceptual Hashing Based on CNN Node Responses","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"SITE-D","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川大学大学院"},{"subitem_text_value":"神奈川大学"},{"subitem_text_value":"神奈川大学"},{"subitem_text_value":"神奈川大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Kanagawa University","subitem_text_language":"en"},{"subitem_text_value":"Kanagawa University","subitem_text_language":"en"},{"subitem_text_value":"Kanagawa University","subitem_text_language":"en"},{"subitem_text_value":"Kanagawa 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/233080/files/IPSJ-IOT24064060.pdf","label":"IPSJ-IOT24064060.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IOT24064060.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"7c33c271-340a-467b-9757-962e544576be","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 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":"菅原, 裕晴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"細野, 海人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森住, 哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木下, 宏揚"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yusei, Sugawara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kaito, Hosono","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsuya, Morizumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirotsugu, Kinoshita","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12326962","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":"2188-8787","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"テクノロジーが発展するにつれて，画像の無断複製などによる著作権侵害が深刻な問題となっている．この問題を解決する知覚ハッシュには，CNN の重み・バイアスを用いる手法と CNN ノードのレスポンスを活用する手法がある．本研究では，ImageNet で訓練された VGG-16 のレスポンス (中間層や全結合層・出力層) を活用し，知覚ハッシュの生成を行う．本研究では，レスポンスの選択が精度や計算コスト (ファイルサイズ，ファイルの生成時間) に与える影響を明らかにし，そのバランスが最も良いとされるレスポンスを特定する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement. To tackle this challenge, two approaches are considered: one that utilizes the weights and biases of CNN, and another that employing the responses of CNN nodes. In this study, we generate perceptual hashes using responses from various layers of VGG-16, a CNN trained on ImageNet, including intermediate, fully connected, and output layers. In this study, we clarify the effects of selecting different responses on the accuracy and computational costs, which include file size and generation time, and we pinpoint the responses that yield the most favorable balance between these aspects.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告インターネットと運用技術（IOT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"60","bibliographicVolumeNumber":"2024-IOT-64"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:34:18.839401+00:00","id":233080,"links":{}}