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An automatic system for real-time video-genres detection 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. ; Kelm, P. ; Sikora, T.

We present a new approach for classifying MPEG-2 video sequences as dasiacartoonpsila, dasiacommercialpsila, dasiamusicpsila, dasianewspsila or dasiasportpsila 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.

Published in:

Consumer Electronics, 2008. ISCE 2008. IEEE International Symposium on

Date of Conference:

14-16 April 2008