Multimodal News Story Segmentation

  • Gert-Jan Poulisse
  • Marie-Francine Moens


In this paper, we describe a multi-modal approach to segmenting news video based on the perceived shift in content. We divide up a video document into logically coherent semantic units known as stories. We investigate the effectiveness of a number of multimedia features which serve as potential indicators of a story boundary. The results show an improvement of performance over current state of the art story segmenters.


News Video Late Fusion Pause Duration News Broadcast Speech Prosody 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Indian Institute of Information Technology, India 2009

Authors and Affiliations

  • Gert-Jan Poulisse
    • 1
  • Marie-Francine Moens
    • 1
  1. 1.Department of Computer ScienceKatholieke Universiteit LeuvenHeverleeBelgium

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