文献の詳細
| 論文の言語 | 英語 |
|---|---|
| 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 |
| 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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- BibTeX用エントリー
@InProceedings{Sun2010, author = {Weihan Sun and Koichi Kise}, title = {Copyright Protection of Line Drawings:Copyrighted Part Detection Using Cascade Classifiers}, booktitle = {Proceedings of the 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)}, year = 2010, month = nov, pages = {9--10} }