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Type: Artigo de evento
Title: An Approach To Detect Video Transitions Based On Mathematical Morphology
Author: Guimaraes S.J.F.
Araujo A.D.A.
Couprie M.
Leite N.J.
Abstract: 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. After-wards, we apply image processing tools to detect all vertical aligned transitions in this image. The main operator applied here is the morphological multi-scale gradient. We also present some experimental results.
Rights: fechado
Identifier DOI: 
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

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