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An approach to detect video transitions based on mathematical morphology

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4 Author(s)
Guimaraes, S.J.F. ; Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil ; de-A.-Araujo, A. ; Couprie, M. ; Leite, N.J.

The video segmentation problem can be regarded as a problem of detecting the fundamental video units (shots). Due to different ways of linking two consecutive shots this task turns out to be difficult. In this work, we propose a method to detect both cuts and gradual transitions by image segmentation tools instead of using dissimilarity measures or mathematical models. Firstly, the video is transformed into a 2D image, called visual rhythm by sub-sampling. Afterwards, we apply image processing tools to detect all vertical aligned transitions in this image. The main operator applied here is the morphological multiscale gradient. We also present some experimental results.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:2 )

Date of Conference:

2003