| Conference/Proceedings | Third International Conference on Digital Information Management, ICDIM November 13-16, 2008, London, UK |
| Start date | 13.11.2008 |
| End date | 16.11.2008 |
| Address | London, UK |
| Organisation | IEEE |
| Editor | IEE, Richard Chbeir |
| Publisher | IEEE |
| Volume | November 2008 |
| Author(s) | Ronald Glasberg, Sebastian Schmiedeke, Hüseyin Oguz, Pascal Kelm and Thomas Sikora |
| Title | Real-Time Detection of Sport in MPEG-2 Sequences using High-Level AV-Descriptors and SVM |
| Abstract | We present a new approach for classifying mpeg-2 video sequences as ‘sport’ or ‘non-sport’ by analyzing new high-level audiovisual features of consecutive frames in real-time. This is part of the well-known video-genre-classification problem, where popular TV-broadcast genres like cartoon, commercial, music video, news and sports are studied. Such applications have also been discussed in the context of MPEG-7 [1]. In our method the extracted features are logically combined by a support vector machine [2] to produce a reliable detection. The results demonstrate a high identification rate of 98.5% based on a large balanced database of 100 representative video sequences gathered from free digital TV-broadcasting and world wide web. |
| Key words | Genre-Detection, SVM, Sport Detection, Logo, Sportfield, Scoreboard |
| Note | oral presentation ; eingereicht ; ISBN 978-1-4244-2917-2 ; TACD//-ICDIM-08 |
| File | 1182Glasberg2008.pdf |