Automatic categorization and summarization of documentaries

  • Authors:

  • Kezban Demirtas;Nihan Kesim Cicekli;Ilyas Cicekli

  • Affiliations:

  • Department of Computer Engineering, METU, Ankara, Turkey;Department of Computer Engineering, METU, Ankara, Turkey;Department of Computer Engineering, Bilkent University,Ankara, Turkey

  • Venue:
  • Journal of Information Science
  • Year:
  • 2010

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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.