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An automatic system for real-time video-genres detection using high-level-descriptors and a set of classifiers
Citation key 1180Glasberg2008
Author Ronald Glasberg and Sebastian Schmiedeke and Pascal Kelm and Thomas Sikora
Title of Book 12th Annual IEEE International Symposium on Consumer Electronics, ISCE 2008, Algarve, Portugal
Pages 1–4
Year 2008
DOI 10.1109/ISCE.2008.4559449
Address Algarve, Portugal
Month apr
Note oral presentation; eingereicht; ISBN 978-1-4244-2422-1
Editor The International Symposium on Consumer Electronics (ISCE), Antonio Navarro
Publisher IEEE Press
Organization IEEE
Abstract We 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.
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