{"links":{},"id":141649,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00141649","sets":["934:6391:7817:8243"]},"path":["8243"],"owner":"11","recid":"141649","title":["Phorec: Context-Aware Photography Support System Based on Social Data Analysis"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-27"},"_buckets":{"deposit":"e15271e8-f317-4da0-9e69-31b0b41d493d"},"_deposit":{"id":"141649","pid":{"type":"depid","value":"141649","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Phorec: Context-Aware Photography Support System Based on Social Data Analysis","author_link":["207450","207453","207449","207451","207452","207446","207447","207448"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Phorec: Context-Aware Photography Support System Based on Social Data Analysis"},{"subitem_title":"Phorec: Context-Aware Photography Support System Based on Social Data Analysis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[コンシューマ・サービス論文] photography, social data analysis, mobile application, context-awareness","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2015-03-27","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Nara Institute of Science and Technology"},{"subitem_text_value":"Nara Institute of Science and Technology"},{"subitem_text_value":"Nara Institute of Science and Technology"},{"subitem_text_value":"Nara Institute of Science and Technology"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/141649/files/IPSJ-TCDS0502002.pdf","label":"IPSJ-TCDS0502002"},"date":[{"dateType":"Available","dateValue":"2017-03-27"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCDS0502002.pdf","filesize":[{"value":"5.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"47"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1babf64e-564e-4699-a2e2-71ec29cfdc8d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nuttapoom, Amornpashara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yutaka, Arakawa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Morihiko, Tamai"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keiichi, Yasumoto"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nuttapoom, Amornpashara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yutaka, Arakawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Morihiko, Tamai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keiichi, Yasumoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628043","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2186-5728","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In the world of digital photography, it is widely known that general contexts including location, date, time, weather condition, composition, and camera setting, obviously affect quality of photos. In this paper, we analyzed the crowdsourced big data on the social network for photographers and extracted the rich photographic information in order to assist photographers to take beautiful photos. Our developed system is composed of server-side system and mobile application. The server-side system suggests good photos which are relevant to the contexts. The sophisticated iOS application was developed to collect the contexts and exhibit the result. The user's satisfaction in Phorec were measured through subjective evaluations. The result reflected that recommended photography settings are important and can fulfil user's desire.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.23(2015) No.3 (online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In the world of digital photography, it is widely known that general contexts including location, date, time, weather condition, composition, and camera setting, obviously affect quality of photos. In this paper, we analyzed the crowdsourced big data on the social network for photographers and extracted the rich photographic information in order to assist photographers to take beautiful photos. Our developed system is composed of server-side system and mobile application. The server-side system suggests good photos which are relevant to the contexts. The sophisticated iOS application was developed to collect the contexts and exhibit the result. The user's satisfaction in Phorec were measured through subjective evaluations. The result reflected that recommended photography settings are important and can fulfil user's desire.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.23(2015) No.3 (online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2015-03-27","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"5"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:19:12.267645+00:00","updated":"2025-01-20T06:44:19.290516+00:00"}