A Multi-stage Approach for Anchor Shot Detection

  • L. D’Anna
  • G. Marrazzo
  • G. Percannella
  • C. Sansone
  • M. Vento
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4109)


In this paper we present a novel algorithm for anchor shot detection (ASD). ASD is a fundamental step for segmenting news video into stories that is among key issues for achieving efficient treatment of news-based digital libraries.

The proposed algorithm creates a set of audio/video templates of anchorperson shots in an unsupervised way, then classifies shots by comparing them to the templates. Audio similarity is evaluated by means of a new index and helps to achieve better performance than a pure video approach. The method has been tested on a wide database and compared with other state-of-the-art algorithms, demonstrating its effectiveness with respect to them.


Minimum Span Tree News Video Video Shot Video Database Video Segmentation 
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

  • L. D’Anna
    • 1
  • G. Marrazzo
    • 1
  • G. Percannella
    • 1
  • C. Sansone
    • 2
  • M. Vento
    • 1
  1. 1.Dip. di Ingegneria dell’Informazione ed Ingegneria ElettricaUniversità degli Studi di SalernoFisciano (SA)Italy
  2. 2.Dipartimento di Informatica e SistemisticaUniversità degli Studi di Napoli “Federico II”NapoliItaly

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