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ICPR
2004
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Segmentation and Classification of Meeting Events using Multiple Classifier Fusion and Dynamic Programming

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Segmentation and Classification of Meeting Events using Multiple Classifier Fusion and Dynamic Programming
In this paper the segmentation of a meeting into meeting events is investigated as well as the recognition of the detected segments. First the classification of a meeting event is examined. Five different classifiers are combined through multiple classifier fusion. Then a way for finding the optimal segment boundaries is presented. With a Dynamic Programming approach quite encouraging results can be obtained. The results show further that by classifier fusion a more stable result can be achieved than using only one single classifier.
Gerhard Rigoll, Stephan Reiter
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Gerhard Rigoll, Stephan Reiter
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