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KO92001006-00000023-0047.pdf
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:Jan 14, 2016 |
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本文公開日 |
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タイトル |
タイトル |
A Video-oriented Knowledge Collection and Accumulation System with Associated Multimedia Resource Integration
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著者 |
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中野, 理穂
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ナカノ, リホ
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ローマ字 |
Nakano, Riho
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所属 |
慶應義塾大学大学院政策•メディア研究科
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所属(翻訳) |
Graduate School of Media and Governance, Keio University
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名前 |
清木, 康
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キヨキ, ヤスシ
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ローマ字 |
Kiyoki, Yasushi
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所属 |
慶應義塾大学環境情報学部
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所属(翻訳) |
Faculty of Environment and Information Studies, Keio University
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慶應義塾大学湘南藤沢学会
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カナ |
ケイオウ ギジュク ダイガク ショウナン フジサワ ガッカイ
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ローマ字 |
Keio gijuku daigaku shonan fujisawa gakkai
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2014
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交通運輸情報プロジェクトレビュー
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23
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2014
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開始ページ |
47
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終了ページ |
55
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抄録 |
Knowledge-collection and accumulation are essential functions for realizing a knowledge-creation environment. Our system for an objective-video with a story on the Internet focuses on expert-knowledge collection and accumulation based video contents with multimedia, such as images, texts and audio data. The purpose of this system design is to generate "relationships of uploaded data" across heterogeneous categories in order to associate among uploaded contents in various categories related to specific topics included in objective-video, in a cross-disciplinary way. Our system creates two types of "relationships of uploaded data". One type is automatically generated according to similarities among the contents of uploaded data. The other relationship is created by experts once they are shown a list of uploaded content in other categories in response to a query. An important feature of this system is a data structure for expressing uploaded multimedia data, as knowledge-collection related to an objective-video and is called a "multi-dimensional knowledge model" (MDKM). Our proposed MDKM can determine the similarity or association between two sets of uploaded data by computing the relevance score between uploaded data in various dimensions that are their corresponding metadata, such as tag, color histograms, and harmony. By using this system, experts upload knowledge in categories related to the objective-video and accumulate their knowledge. Our system is applicable to E-learning systems, Internet video-sharing platforms, and participatory entertainment systems.
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キーワード |
collaborative knowledge building
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注記 |
2014年度慶應義塾大学JR東日本寄附講座報告書
慶應義塾大学交通運輸情報プロジェクト
その3 : 慶應義塾SFC大学院生•学部生の研究
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