Abstract
Technology has been playing a major role in facilitating the capture, storage and communication of multimedia data, resulting in a large amount of video material being archived. To ensure its usability, the problem of automatic annotation of videos has been attracting the attention of much researches. This paper describes one aspect of the development of a novel system which will provide a semantic annotation of sports video. The system relies upon the concept of “cues” which attach semantic meaning to low-level features computed on the video and audio. We will discuss the problem of classifying shots, based on the cues they contain, into the sports they belong to. We adopt the multiple classifier system (MCS) approach to improve classification performance. Experimental results on sports video materials provided by the BBC demonstrate the benefits of the MCS approach in relation to this difficult classification problem.
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© 2003 Springer-Verlag Berlin Heidelberg
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Jaser, E., Kittler, J., Christmas, W. (2003). Building Classifier Ensembles for Automatic Sports Classification. In: Windeatt, T., Roli, F. (eds) Multiple Classifier Systems. MCS 2003. Lecture Notes in Computer Science, vol 2709. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44938-8_37
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DOI: https://doi.org/10.1007/3-540-44938-8_37
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