Copyright Protection of Line Drawings:Copyrighted Part Detection Using Cascade Classifiers
言語
英語
種類
国際会議等の予稿
著者
Weihan Sun，Koichi Kise
論文名
Copyright Protection of Line Drawings:Copyrighted Part Detection Using Cascade Classifiers
論文誌名
Proceedings of the 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
ページ
pp.9-10
査読の有無
有
年月
2010年11月
分野
パターン認識
キー
Sun2010_CJKPR (id=1182)
要約
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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