Abstract
In this paper, we propose a caption detection and removal technique for reuse of TV scenes using the Multilayer Perceptrons (MLPs) and Genetic algorithms (GAs). The technique first detects the captions in a TV scene using the MLP-based caption detector, and then removes the detected captions using the GA-based region remover. In our technique, the caption removal problem is modeled as an optimization problem, which in our case, is solved by a cost function with isophote constraint that is minimized using a GA. The technique creates an optimal connection of all pairs of isophote disconnected by caption regions. To connect the disconnected isophote, we estimate the value of the smoothness, given by the best chromosome of the GA, and project this value in the isophote direction. Experimental results show a great possibility for automatic removal of captions in TV advertisement scenes.
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© 2004 Springer-Verlag Berlin Heidelberg
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Kim, J., Ahn, K. (2004). Caption Detection and Removal in a TV Scene. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_16
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DOI: https://doi.org/10.1007/978-3-540-30549-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
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