| Conference/Proceedings | WIAMIS |
| Start date | 13.04.2005 |
| End date | 15.04.2005 |
| Address | Montreux |
| Author(s) | Ronald Glasberg, Khalid Elazouzi, Thomas Sikora |
| Title | Cartoon-Recognition using Visual-Descriptors and a Multilayer-Perceptron |
| Abstract | sequences as ‘cartoon’ or ‘non-cartoon’ by analyzing specific color, texture and motion features of consecutive frames in real-time. This is part of the well-known videogenre-classification problem, where popular TVbroadcast genres like cartoon, commercial, music, news and sports are studied. Such applications have also been discussed in the context of MPEG-7 [12]. In our method the extracted features from the visual descriptors are nonlinear weighted with a sigmoid-function and afterwards combined using a multilayered perceptron to produce a reliable recognition. The results demonstrate a high identification rate based on a large collection of 200 representative video sequences (40 cartoons and 4*40 non-cartoons) gathered from free digital TV-broadcasting in Germany. |
| File | 0748Glasberg2005.pdf |