{"updated":"2025-01-21T10:37:53.964257+00:00","links":{},"id":102962,"created":"2025-01-18T23:48:04.194545+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00102962","sets":["6164:6165:7308:7659"]},"path":["7659"],"owner":"11","recid":"102962","title":["Deep Learningに基づく画像認識を用いた月および火星表面の擬似不自然構造物探索"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-09-05"},"_buckets":{"deposit":"17b7a711-6b47-4f8d-94db-7e80f1fe25e4"},"_deposit":{"id":"102962","pid":{"type":"depid","value":"102962","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Deep Learningに基づく画像認識を用いた月および火星表面の擬似不自然構造物探索","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Deep Learningに基づく画像認識を用いた月および火星表面の擬似不自然構造物探索"},{"subitem_title":"Detecting Pseudo-artificial Structures on the Moon and Mars Surfaces using Image Processing","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2014-09-05","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"津田塾大学"},{"subitem_text_value":"ニコニコ技術部"},{"subitem_text_value":"株式会社デンソーアイティーラボラトリ"},{"subitem_text_value":"コニカミノルタ株式会社"},{"subitem_text_value":"NTT データ CSS"},{"subitem_text_value":"E-グラフィックスコミュニケーションズ"},{"subitem_text_value":"川崎市立向丘中学校"},{"subitem_text_value":"多摩美術大学"},{"subitem_text_value":"チームラボ"},{"subitem_text_value":"Georepublic Japan"},{"subitem_text_value":"ニコニコ技術部"},{"subitem_text_value":"株式会社デンソー"},{"subitem_text_value":"数理先端技術研究所"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tsuda College","subitem_text_language":"en"},{"subitem_text_value":"Nico-TECH","subitem_text_language":"en"},{"subitem_text_value":"Denso IT Laboratory, Inc.","subitem_text_language":"en"},{"subitem_text_value":"Konica Minolta, Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT DATA CCS CORPORATION","subitem_text_language":"en"},{"subitem_text_value":"E-GRAPHICS COMMUNICATIONS","subitem_text_language":"en"},{"subitem_text_value":"Mukaigaoka Junior High School","subitem_text_language":"en"},{"subitem_text_value":"Tama Art University","subitem_text_language":"en"},{"subitem_text_value":"teamLab. INC","subitem_text_language":"en"},{"subitem_text_value":"Georepublic Japan","subitem_text_language":"en"},{"subitem_text_value":"Nico-TECH","subitem_text_language":"en"},{"subitem_text_value":"DENSO CORPORATION","subitem_text_language":"en"},{"subitem_text_value":"Mathematical Science Advanced Technology Laboratory Co., Ltd","subitem_text_language":"en"}]},"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/102962/files/IPSJ-EC2014047.pdf"},"date":[{"dateType":"Available","dateValue":"2014-09-05"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EC2014047.pdf","filesize":[{"value":"361.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"16411191-372f-497d-a95e-058438bbba96","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"栗原, 一貴"},{"creatorName":"笹尾, 和宏"},{"creatorName":"山本, 光穂"},{"creatorName":"田中, 秀樹"},{"creatorName":"奈良部, 隆行"},{"creatorName":"國吉, 雅人"},{"creatorName":"会田, 寅次郎"},{"creatorName":"岡田, 裕子"},{"creatorName":"高須, 正和"},{"creatorName":"関, 治之"},{"creatorName":"飯田, 哲"},{"creatorName":"山本, 博之"},{"creatorName":"生島, 高裕"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazutaka, Kurihara","creatorNameLang":"en"},{"creatorName":"Kazuhiro, Sasao","creatorNameLang":"en"},{"creatorName":"Mitsuo, Yamamoto","creatorNameLang":"en"},{"creatorName":"Hideki, Tanaka","creatorNameLang":"en"},{"creatorName":"Takayuki, Narabu","creatorNameLang":"en"},{"creatorName":"Masato, Kuniyoshi","creatorNameLang":"en"},{"creatorName":"Torajiro, Aida","creatorNameLang":"en"},{"creatorName":"Yuko, Okada","creatorNameLang":"en"},{"creatorName":"Masakazu, Takasu","creatorNameLang":"en"},{"creatorName":"Hal, Seki","creatorNameLang":"en"},{"creatorName":"Satoshi, Iida","creatorNameLang":"en"},{"creatorName":"Hiroyuki, Yamamoto","creatorNameLang":"en"},{"creatorName":"TakahiroIkushima","creatorNameLang":"en"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，月および火星の衛星画像からあたかも知的生命体によって構築されたかのような構造物（擬似不自然構造物，pseudo-artificial structures)を自動検出する試みについて報告する．NASA Jet Propulsion Laboratory から公開されている観測データを対象として近年発展の著しいパターン認識手法である deep learning を採用し，顔認識技術として Deep Convolutional Network Cascade for Facial Point Detection，およびオブジェクト検出技術として 1000 種類の物体を検出可能な DeCAF (A Deep Convolutional Activation Feature for Generic Visual Recognition)を適用することで，興味深い結果を得た．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we report our trial to automate discoveries of \"pseudo-artificial\" structures, which are geographical patterns that seem to have been built by an intelligent life. State-of-art pattern recognition techniques based on deep learning such as Deep Convolutional Network Cascade for Facial Point Detection as our face detector, and DeCAF (A Deep Convolutional Feature for Generic Visual Recognition) for object detection among 1000 objects are applied to huge amount of satellite images that are available at NASA Jet Propulsion Laboratory. Many inspiring detection results are presented.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"224","bibliographic_titles":[{"bibliographic_title":"エンタテインメントコンピューティングシンポジウム2014論文集"}],"bibliographicPageStart":"223","bibliographicIssueDates":{"bibliographicIssueDate":"2014-09-12","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}