Scene pathfinder: unsupervised clustering techniques for movie scenes extraction

@article{Ellouze2009ScenePU,
  title={Scene pathfinder: unsupervised clustering techniques for movie scenes extraction},
  author={Mehdi Ellouze and Nozha Boujemaa and Adel M. Alimi},
  journal={Multimedia Tools and Applications},
  year={2009},
  volume={47},
  pages={325-346}
}
The need for watching movies is in perpetual increase due to the widespread of the internet and the increasing popularity of the video on demand service. The important mass of movies stored in the Internet or in VOD servers need to be structured to accelerate the browsing operation. In this paper, we propose a new system called "The Scene Pathfinder" that aims at segmenting the movies into scenes to give users the opportunity to have a non- sequential access and to watch particular scenes of… CONTINUE READING

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KKQ: K-frames and K-words extraction for quick news story browsing

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