conference paper

Conference/Proceedings12th Annual IEEE International Symposium on Consumer Electronics, ISCE 2008, Algarve, Portugal
Start date14.04.2008
End date16.04.2008
AddressAlgarve, Portugal
EditorThe International Symposium on Consumer Electronics (ISCE), Antonio Navarro
PublisherIEEE Press
VolumeApril 2008
Pages1 - 4
Author(s)Ronald Glasberg, Sebastian Schmiedeke, Pascal Kelm, Thomas Sikora
TitleAn automatic system for real-time video-genres detection using high-level-descriptors and a set of classifiers
AbstractWe 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 wordsGenre-Detection, High-Level Descriptors, Classifier Combination
Noteoral presentation; eingereicht; ISBN 978-1-4244-2422-1