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Title
Japanese:講義講演ビデオからダイジェスト自動作成のための重要シーン抽出手法の評価 
English:Evaluation of Methods to Extract Important Scenes for Automatic Digest Generation from a Presentation Video 
Author
Japanese: レー ヒェウハン, ティティポーン ルートラットデーチャークン, 渡部 徹太郎, 横田 治夫.  
English: Le HIEU HANH, LERTRUSDACHAKUL Thitiporn, Tetsutaro WATANABE, HARUO YOKOTA.  
Language Japanese 
Journal/Book name
Japanese:データ工学ワークショップ2008 論文集 
English:Proc of DEWS2008 
Volume, Number, Page         E4-1
Published date Mar. 2008 
Publisher
Japanese: 
English: 
Conference name
Japanese:データ工学ワークショップ2008 
English:DEWS2008 
Conference site
Japanese: 
English: 
File
Abstract Abstract In the recent years, the use of presentation video in E-learning is increasing. On the user’s point of view, this often requires previewing the digest of such video before watching the original one. This paper proposes a number of methods of extracting important scenes for automatic digest generation digest from the presentation video which is recorded by MPMeister II - the tool for Multimedia Web Contents. The important scenes extractions are based on several factors, such as word frequency, specificity, duration and orders of the slides. Finally, the results of each methods are evaluated by comparing with the answer sets selected by testers.

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