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Using Self-similarity Matrices for Structure Mining on News Video

  • Arne Jacobs
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3955)

Abstract

Video broadcast series like news or magazine broadcasts usually expose a strong temporal structure, along with a characteristic audio-visual appearance. This results in frequent patterns occurring in the video signal. We propose an algorithm for the automatic detection of such patterns that exploits the video’s self-similarity induced by the patterns. The approach is applied to the problem of anchor shot detection, but can also be used for other related purposes. Tests on real-world video data show that it is possible with our method to detect anchor shots fully automatically with high reliability.

Keywords

Similarity Matrix Presentation Type News Video Story Boundary Anchor Shot 
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

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Arne Jacobs
    • 1
  1. 1.Center for Computing TechnologiesUniversity of BremenGermany

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