{"_buckets": {"deposit": "418cd9d4-b6a7-49bb-b319-55c8d8328444"}, "_deposit": {"id": "21670", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21670"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021670", "sets": ["314"]}, "author_link": ["63983", "63984", "63985", "63986", "63987", "63988", "63989", "63990", "63991", "63992"], "item_10_alternative_title_19": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "Video-based Generic Object Recognition by Combining Motion Features and BoF", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-01-13", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "381", "bibliographicPageEnd": "428", "bibliographicPageStart": "423", "bibliographicVolumeNumber": "110", "bibliographic_titles": [{"bibliographic_title": "電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解", "bibliographic_titleLang": "ja"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Web上の大量の動画像の分類・検索ができるようにするために,動画像に映っている物体を認識し,自動でタグ付けを行う技術が必要となってきている.従来,静止画像に対する一般物体認識は盛んに行われてきたが,動画像に対する一般物体認識はほとんど行われていない.動画像に対する一般物体認識では,動画像中に含まれる様々なフレームから得られる特徴を効果的に利用することが重要となる.本報告では,動画像の各フレームのBoF(Bag of Features)特徴と隣接フレーム間の動き特徴を統合し利用することで,動画像に映っている一般物体を認識する手法を提案する.実験により,動き特徴の統合利用による有効性を示した.", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "It has been needed to recognize objects in videos and attach tags automatically so as to categorize and search a large amount of videos on the Web. Recently, generic object recognition has been studied for still images actively, but not almost for videos. As for the generic object recognition in a video, it is important to make use of the features from various frames involved in the video efficiently. In this paper, we propose a method of recognizing generic objects in videos by combining BoF of each frames and motion features of consecutive frames. Experimental results showed the effectiveness of integrated use of motion features.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_description_5": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "IEICE Technical Report;PRMU2010-206, MVE2010-131", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://ci.nii.ac.jp/naid/110008675822/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23821"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "一般社団法人電子情報通信学会", "subitem_publisher_language": "ja"}]}, "item_10_relation_40": {"attribute_name": "シリーズ", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;PRMU2010-206, 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[{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "仲村, 彰吾", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "63983", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "出口, 大輔", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "63984", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "高橋, 友和", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "63985", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "井手, 一郎", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "63986", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "村瀬, 洋", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "63987", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NAKAMURA, Shogo", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63988", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "DEGUCHI, Daisuke", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63989", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "TAKAHASHI, Tomokazu", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63990", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "IDE, Ichiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63991", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MURASE, Hiroshi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "63992", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": 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{"subitem_subject": "optical flow", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "動き特徴とBoF特徴を組み合わせた動画像中の一般物体認識(MR/ARの実用化に向けたCV/PR技術の課題と展望)", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "動き特徴とBoF特徴を組み合わせた動画像中の一般物体認識(MR/ARの実用化に向けたCV/PR技術の課題と展望)", "subitem_title_language": "ja"}]}, "item_type_id": "10", "owner": "1", "path": ["314"], "permalink_uri": "http://hdl.handle.net/2237/23821", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2016-03-14"}, "publish_date": "2016-03-14", "publish_status": "0", "recid": "21670", "relation": {}, "relation_version_is_last": true, "title": ["動き特徴とBoF特徴を組み合わせた動画像中の一般物体認識(MR/ARの実用化に向けたCV/PR技術の課題と展望)"], "weko_shared_id": -1}