@INPROCEEDINGS{1181Glasberg2008,
	AUTHOR = {Ronald Glasberg and Sebastian Schmiedeke and Martin Mocigemba and Thomas Sikora},
	TITLE = {Real-Time Approaches for Video-Genre-Classification using  new High-Level Descriptors and a Set of Classifiers},
	BOOKTITLE = {2008 IEEE International Conference on Semantic Computing},
	YEAR = {2008},
	MONTH = aug,
	PUBLISHER = {IEEE},
	PAGES = {120--127},
	ORGANIZATION = {IEEE},
	ADDRESS = {Santa Clara/ USA},
	NOTE = {oral presentation; eingereicht; ISBN 978-0-7695-3279-0},
	PDF = {http://elvera.nue.tu-berlin.de/files/1181Glasberg2008.pdf},
	DOI = {10.1109/ICSC.2008.92},
	URL = {http://elvera.nue.tu-berlin.de/files/1181Glasberg2008.pdf},
	ABSTRACT = {In this paper we describe in detail the recent publications related to video-genre-classification and present our improved approaches for classifying video sequences in real-time as ‘cartoon’, ‘commercial’, ‘music’, ‘news’ or ‘sport’ by analyzing the content with high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7 [1]. The results demonstrate identification rates of more than 90% based on a large representative collection of 100 videos gathered from free digital TV and Internet.}
}