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Detail of Publication

Text Language English
Authors Weihan Sun, Koichi Kise
Title Copyright Protection of Line Drawings:Copyrighted Part Detection Using Cascade Classifiers
Journal Proceedings of the 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
Pages pp.9-10
Reviewed or not Reviewed
Month & Year November 2010
Abstract To protect the copyright of line drawings, we proposed an image retrieval method to detect both printed and handwritten partial copies. However, the enormous volumes of line drawing publications with copyright cause the problem of scalability. Since not the whole image requires copyright protection, a practical method should detect the copyrighted parts only. In this paper, we propose applying object detection technique to detect copyrighted parts. By using cascade classifiers, we achieved the detection of comic characters’ faces, which are important copyrighted parts of line drawing publications. The experimental results show the effectiveness of this method.
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