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      Automatic categorization and summarization of documentaries

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      Author
      Demirtas, K.
      Cicekli, N. K.
      Cicekli, I.
      Date
      2010
      Source Title
      Journal of Information Science
      Print ISSN
      0165-5515
      Publisher
      Sage Publications Ltd.
      Volume
      36
      Issue
      6
      Pages
      671 - 689
      Language
      English
      Type
      Article
      Item Usage Stats
      129
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      135
      downloads
      Abstract
      In this paper, we propose automatic categorization and summarization of documentaries using subtitles of videos. We propose two methods for video categorization. The first makes unsupervised categorization by applying natural language processing techniques on video subtitles and uses the WordNet lexical database and WordNet domains. The second has the same extraction steps but uses a learning module to categorize. Experiments with documentary videos give promising results in discovering the correct categories of videos. We also propose a video summarization method using the subtitles of videos and text summarization techniques. Significant sentences in the subtitles of a video are identified using these techniques and a video summary is then composed by finding the video parts corresponding to these summary sentences. © 2010 The Author(s).
      Keywords
      Text summarization
      Video categorization
      Video summarization
      WordNet domains
      Automatic categorization
      Learning modules
      Lexical database
      Natural language processing
      Text summarization
      Permalink
      http://hdl.handle.net/11693/22101
      Published Version (Please cite this version)
      http://dx.doi.org/10.1177/0165551510382070
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      • Department of Computer Engineering 1368
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