{"created":"2023-11-08T01:35:50.635569+00:00","id":2000284,"links":{},"metadata":{"_buckets":{"deposit":"560bd1a6-58fb-41ea-9f41-a18d4a71f0e6"},"_deposit":{"created_by":42,"id":"2000284","owners":[42],"pid":{"revision_id":0,"type":"depid","value":"2000284"},"status":"published"},"_oai":{"id":"oai:kindai.repo.nii.ac.jp:02000284","sets":["14:2667:1697004343623"]},"author_link":[],"item_1693381679919":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"report","resourceuri":"http://purl.org/coar/resource_type/c_93fc"}]},"item_30001_bibliographic_information17":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicNumberOfPages":"10","bibliographic_titles":[{"bibliographic_title":"科学研究費助成事業研究成果報告書 (2022)","bibliographic_titleLang":"ja"}]}]},"item_30001_creator2":{"attribute_name":"研究代表者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"34419","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"近畿大学","affiliationNameLang":"ja"},{"affiliationName":"Kindai University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"阿部, 孝司","creatorNameLang":"ja"},{"creatorName":"Abe, Koji","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"90367441","nameIdentifierScheme":"e-Rad"}]}]},"item_30001_description8":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本研究では以下の機能を実現させた。(1)図形商標を対象に「よい連続性」要因を持つ群化領域を認識する手法を提案した。(2)胃X線像に映る胃襞の分布の特定に(1)を適用し有効性を示した。(3)複数人1カメラで参加するWeb会議で標的のユーザが参加しているかを判別する手法に群化領域認識技術を導入し精度よく判別した。(4)肝臓CT画像において、複数枚に渡って映る同一病変部を特定する手段として(1)の特徴抽出の考え方を導入し高い精度で同一病変部を特定した。(5)魚群映像を用いた魚群行動を解析する手法の中に(1)の一部を適用した。(6)魚群の動画において、群化領域認識を適用し高い精度で魚領域を抽出した。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"In this research, the following functionalities were achieved: (1) a method for recognizing clustered regions with \"good continuity\" factors for graphic trademarks was proposed, (2) a method to identify the distribution of gastric folds in gastric X-ray images by introducing a part of (1) was proposed, (3) the proposed grouping recognition technique into a method for recognizing whether the target user is participating in web meetings with multiple participants was introduced, (4) the feature extraction approach from (1) was incorporated as a means to identify the same lesion area spanning multiple liver CT images, (5) a part of the method (1) was applied to analyze fish behavior using fish shoal videos, and (6) the proposed grouping recognition to accurately extract fish regions in fish shoal videos was applied.","subitem_description_language":"en","subitem_description_type":"Abstract"},{"subitem_description":"研究分野：メディア情報学","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_30001_file22":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"20K11899seika.pdf","format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kindai.repo.nii.ac.jp/record/2000284/files/20K11899seika.pdf"},"version_id":"5642bfc9-9e4a-47fc-89fe-9a575fdcc17b"}]},"item_30001_funding_reference15":{"attribute_name":"助成情報","attribute_value_mlt":[{"subitem_award_numbers":{"subitem_award_number":"20K11899","subitem_award_uri":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K11899/"},"subitem_award_titles":[{"subitem_award_title":"人間の群化知覚を考慮した画像情報検索システム","subitem_award_title_language":"ja"},{"subitem_award_title":"Visual Information Retrieval Considering Human Perception for Grouping Patterns","subitem_award_title_language":"en"}],"subitem_funder_names":[{"subitem_funder_name":"独立行政法人日本学術振興会","subitem_funder_name_language":"ja"},{"subitem_funder_name":"Japan Society for the Promotion of Science","subitem_funder_name_language":"en"}]}]},"item_30001_language10":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30001_subject7":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"類似画像検索","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"CBIR","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"群化知覚","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"画像認識","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"画像処理","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_30001_title0":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人間の群化知覚を考慮した画像情報検索システム","subitem_title_language":"ja"},{"subitem_title":"Visual Information Retrieval Considering Human Perception for Grouping 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