{"created":"2025-01-19T00:43:26.709161+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00173118","sets":["1164:3616:8533:8880"]},"path":["8880"],"owner":"11","recid":"173118","title":["Web公開画像からのエチゼンクラゲの発生状況を調査する方法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-08-01"},"_buckets":{"deposit":"22385679-cefb-488a-8935-48dd225d0f3d"},"_deposit":{"id":"173118","pid":{"type":"depid","value":"173118","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Web公開画像からのエチゼンクラゲの発生状況を調査する方法の検討","author_link":["352907","352906","352908"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Web公開画像からのエチゼンクラゲの発生状況を調査する方法の検討"}]},"item_type_id":"4","publish_date":"2016-08-01","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州工業大学"},{"subitem_text_value":"九州工業大学"},{"subitem_text_value":"九州工業大学"}]},"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/173118/files/IPSJ-AVM16093007.pdf","label":"IPSJ-AVM16093007.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM16093007.pdf","filesize":[{"value":"954.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"096ff502-9c72-4bb6-b975-6ff85b1b93b4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 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":"椙本, 優大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"相良, 和貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"張, 力峰"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","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":"2188-8582","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究はウェブサイト上に公開された画像の中からエチゼンクラゲの写る画像を検出することでエチゼンクラゲの発生状況を調査する方法を検討するものである．エチゼンクラゲの大量発生は日本では過去の発生状況から深刻な問題であると考えられている．提案手法では，機械学習における学習方法のひとつであるサポートベクターマシン (SVM) を用いて高精度分類器の作成を目指した．また，本研究では画像サイズや画質のさまざまなサンプル画像をウェブサイトから収集して機械学習を行うことで実装環境と同じ環境で分類器の作成を行った．本研究の最終目標は，ウェブサイトから自動でエチゼンクラゲ画像検出を行うことであり，本研究はそのための前段階である．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-08-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2016-AVM-93"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":173118,"updated":"2025-01-20T07:27:41.395140+00:00","links":{}}