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New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers

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4 Author(s)
Glasberg, R. ; Commun. Syst. Group, Tech. Univ. Berlin, Berlin ; Schmiedeke, S. ; Mocigemba, M. ; Sikora, T.

In this paper we describe in detail the recent publications related to video-genre-classification and present our improved new approaches for classifying video sequences in real-time as 'cartoon', 'commercial', 'music', 'news' or 'sport' by analyzing the content with new high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7. 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.

Published in:

Semantic Computing, 2008 IEEE International Conference on

Date of Conference:

4-7 Aug. 2008