Video segmentation based on 2D image analysis

  • Authors:

  • Silvio Jamil Ferzoli Guimarães;Michel Couprie;Arnaldo de Albuquerque Araújo;Neucimar Jerônimo Leite

  • Affiliations:

  • NPDI/DCC/UFMG, Caixa Postal 702, 30161-970 Belo Horizonte, MG, Brazil and A2SI/ESIEE--Cité Descartes, BP 99, 93162, Noisy le Grand, France;A2SI/ESIEE--Cité Descartes, BP 99, 93162, Noisy le Grand, France;NPDI/DCC/UFMG, Caixa Postal 702, 30161-970 Belo Horizonte, MG, Brazil;IC/UNICAMP, Caixa Postal 6176, 13083-970 Campinas, SP, Brazil

  • Venue:
  • Pattern Recognition Letters - Special issue: Sibgrapi 2001
  • Year:
  • 2003

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Abstract

The video segmentation problem consists in the identification of the boundary between consecutive shots. The common approach to solve this problem is based on dissimilarity measures between frames. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video event is transformed into a different pattern on a 2D image, called visual rhythm, obtained by a specific transformation. In our analysis we use topological and morphological tools to detect cuts. Also, we use discrete line analysis and max tree analysis to detect fade transitions and flashes, respectively. We present a comparative analysis of our method for cut detection with respect to some other methods, which shows the better results of our method.