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. |
- Following file is available.
- Entry for BibTeX
@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} }