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Type: Artigo de periódico
Title: Video Segementation Based On 2d Image Analysis
Author: Guimaraes S.J.F.
Couprie M.Michel
de Albuquerque Araujo A.
Leite N.J.
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. © 2002 Elsevier Science B.V. All rights reserved.
Rights: fechado
Identifier DOI: 10.1016/S0167-8655(02)00218-0
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

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