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| Conference/Proceedings | 12th Annual IEEE International Symposium on Consumer Electronics, ISCE 2008, Algarve, Portugal |
| Start date | 14.04.2008 |
| End date | 16.04.2008 |
| Address | Algarve, Portugal |
| Organisation | IEEE |
| Editor | The International Symposium on Consumer Electronics (ISCE), Antonio Navarro |
| Publisher | IEEE Press |
| Volume | April 2008 |
| Pages | 1 - 4 |
| Author(s) | Ronald Glasberg, Sebastian Schmiedeke, Pascal Kelm, Thomas Sikora |
| Title | An automatic system for real-time video-genres detection using high-level-descriptors and a set of classifiers |
| Abstract | We present a new approach for classifying mpeg-2 video sequences as ‘cartoon’, ‘commercial’, ‘music’, ‘news’ or ‘sport’ by analyzing specific, high-level audio-visual features of consecutive frames in real-time. This is part of the well-known video-genre-classification problem, where popular TV-broadcast genres are studied. Such applications have also been discussed in the context of MPEG-7 [1]. In our method the extracted features are logically combined using a set of classifiers to produce a reliable recognition. The results demonstrate a high identification rate based on a large representative collection of 100 video sequences (20 sequences per genre) gathered from free digital TV-broadcasting in Europe. |
| Key words | Genre-Detection, High-Level Descriptors, Classifier Combination |
| Note | oral presentation; eingereicht; ISBN 978-1-4244-2422-1 |
| DOI | 10.1109/ISCE.2008.4559449 |
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