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Proceedings Unsupervised Colorization of Black-and-White Cartoons

Author(s): Daniel Sýkora, Jan Buriánek, Jiří Žára.
Proceedings: 3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04), pp. 121--127, Annecy, France, June, 2004.
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Abstract:
We present a novel color-by-example technique which combines image segmentation, patch-based sampling and probabilistic reasoning. This method is able to automate movie colorization when new color information is applied on the already designed black-andwhite cartoon. Our technique is especially suitable for cartoons digitized from classical celluloid movies, which have been originally produced by a paper or foil based method. In this case, the background is a static image whilst only the dynamic foreground needs to be colored frame-by-frame. We also assume that objects in the foreground layer consist of several well visible outlines which will emphasize the shape of homogeneous regions.

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