Phorec: Context-Aware Photography Support System Based on Social Data Analysis

• Item type: Trans(1)
• 公開日: 2015-03-27
• タイトル: Phorec: Context-Aware Photography Support System Based on Social Data Analysis
• タイトル / 言語: en
• タイトル: Phorec: Context-Aware Photography Support System Based on Social Data Analysis
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [コンシューマ・サービス論文] photography, social data analysis, mobile application, context-awareness
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Nara Institute of Science and Technology
• 著者所属: Nara Institute of Science and Technology
• 著者所属: Nara Institute of Science and Technology
• 著者所属: Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Nara Institute of Science and Technology
• 著者名: Nuttapoom, Amornpashara; Yutaka, Arakawa; Morihiko, Tamai; Keiichi, Yasumoto
• 著者名(英): Nuttapoom, Amornpashara; Yutaka, Arakawa; Morihiko, Tamai; Keiichi, Yasumoto
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.23(2015) No.3 (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.23(2015) No.3 (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12628043
• 書誌情報: 情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）; 巻 5, 号 2, 発行日 2015-03-27
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2186-5728
• 出版者 / 言語: ja
• 出版者: 情報処理学会