A non parametric shot boundary detection: an eigen gap based approach

  • Authors:

  • S. Manjunath;D. S. Guru;M. G. Suraj;B. S. Harish

  • Affiliations:

  • University of Mysore, Manasagangothri, Mysore, Karnataka, India;University of Mysore, Manasagangothri, Mysore, Karnataka, India;University of Mysore, Manasagangothri, Mysore, Karnataka, India;University of Mysore, Manasagangothri, Mysore, Karnataka, India

  • Venue:
  • COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
  • Year:
  • 2011

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Abstract

Shot boundary detection is one of the challenging and crucial task in designing video archival and retrieval system. Even though a good number of works on shot boundary detection can be found in the literature, still there is a need of developing novel shot boundary detection algorithms which can work in a real time environment. In this paper we present a novel, simple, non parametric shot boundary detection approach where eigen gap analysis is exploited to preserve the variations among the video frames. To detect different types of shot boundaries the concept of small eigen values on a curve obtained by plotting the variations of eigen gap across the video frames is used. To corroborate the efficacy of the proposed method an experimentation on a large set of video frames having different types of transitions is carried out. For experimentation, news, lecture and entertainment videos collected from the World Wide Web is used. Also a qualitative comparative analysis of the proposed method with other existing similar type of techniques has been provided in the paper.