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Automatic Video Shot Boundary Detection Using Machine Learning

  • Wei Ren
  • Sameer Singh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3177)

Abstract

In this paper we present a machine learning system that can accurately predict the transitions between frames in a video sequence. We propose a set of novel features and describe how to use dominant features based on a coarse-to-fine strategy to accurately predict video transitions.

Keywords

Successive Frame Video Shot Video Segmentation Video Indexing Shot Boundary Detection 
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 2004

Authors and Affiliations

  • Wei Ren
    • 1
  • Sameer Singh
    • 1
  1. 1.ATR Lab, Department of Computer ScienceUniversity of ExeterExeterUK

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