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Automatic Video Summarization Using the Optimum-Path Forest Unsupervised Classifier

  • César Castelo-FernándezEmail author
  • Guillermo Calderón-Ruiz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)

Abstract

In this paper a novel method for video summarization is presented, which uses a color-based feature extraction technique and a graph-based clustering technique. One major advantage of this method is that it is parameter-free, that is, we do not need to define neither the number of shots or a consecutive-frames dissimilarity threshold. The results have shown that the method is both effective and efficient in processing videos containing several thousands of frames, obtaining very meaningful summaries in a quick way.

Keywords

Optimum-path forest classifier Video summarization Shot detection Clustering Video processing 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • César Castelo-Fernández
    • 1
    Email author
  • Guillermo Calderón-Ruiz
    • 1
  1. 1.School of Systems EngineeringSanta María Catholic UniversityArequipaPeru

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