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Real-Time Approaches for Video-Genre-Classification using new High-Level Descriptors and a Set of Classifiers
Citation key 1181Glasberg2008
Author Ronald Glasberg and Sebastian Schmiedeke and Martin Mocigemba and Thomas Sikora
Title of Book 2008 IEEE International Conference on Semantic Computing
Pages 120–127
Year 2008
DOI 10.1109/ICSC.2008.92
Address Santa Clara/ USA
Month aug
Note oral presentation; eingereicht; ISBN 978-0-7695-3279-0
Publisher IEEE
Organization IEEE
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.
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