An Evaluation of Video Cut Detection Techniques

  • Sandberg Marcel Santos
  • Díbio Leandro Borges
  • Herman Martins Gomes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)


Accurate detection of shot transitions plays an important role on automatic analysis of digital video contents, and it is a key issue for video indexing and summarization, amongst other tasks. This work presents in more detail a novel strategy, based on the concept of visual rhythm, to automatically detect sharp transitions or cuts in arbitrary videos. The central part of the work is a comparative evaluation of this strategy versus three other very competitive approaches for video cut detection: one based on the visual rhythm concept, other based on pixel differentiation and a last one based on color histograms. The evaluation carried out demonstrated that the proposed method achieves, on average, higher recall rates at a cost of a slightly lower precision.


video cut detection visual rhythm pixel differentiation color histograms video summarization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Sandberg Marcel Santos
    • 1
  • Díbio Leandro Borges
    • 2
  • Herman Martins Gomes
    • 1
  1. 1.Departamento de Sistemas e Computação, Universidade Federal de Campina Grande, Av. Aprígio Veloso s/n, 58109-970 Campina Grande PBBrazil
  2. 2.Departamento de Ciência da Computação, Fundação Universidade de Brasília, Campus Universitário Darcy Ribeiro, 70910-900 Brasília DFBrazil

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