Abstract
In this paper, we present an automatic system that is able to forecast the appearance of a soccer highlight, and annotate it, based on MPEG features; processing is performed in strict real time. A probabilistic framework based on Bayes networks is used to detect the most significant soccer highlights. Predictions are validated by different Bayes networks, to check the outcome of forecasts.
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© 2005 Springer-Verlag Berlin Heidelberg
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Bertini, M., Del Bimbo, A., Nunziati, W. (2005). Soccer Videos Highlight Prediction and Annotation in Real Time. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_78
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DOI: https://doi.org/10.1007/11553595_78
Publisher Name: Springer, Berlin, Heidelberg
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