Automatic panel extraction of color comic images

Authors:
Chung Ho Chan;Howard Leung;Taku Komura
Affiliations:
Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong;Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong;Institute for Perception, Action and Behaviour, School of Informatics, University of Edinburgh, United Kingdom
Venue:
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Year:
2007

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Abstract

In this paper, an automatic approach for detecting and extracting panels in a color comic image is proposed. Panel extraction is challenging because the background color, the background pixel locations, the panel shapes and the panel layout are not known in advance. In our approach, uniform color stripes are first identified and used as separators to segment the color comic page image into sub-regions in a recursive manner. Panels are recognized as the sub-regions that cannot be further segmented. The structure of the panels is thus obtained in the extraction process and it contains the layout of the panels as well as the reading order. Panel extraction is useful because: 1) the extracted panels can be better fitted into a handheld device for viewing; and 2) the panels can then be further analyzed to extract features used for content based indexing and retrieval.