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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Bertini, M., Del Bimbo, A., & Nunziati, W. (2005). Soccer videos highlight prediction and annotation in real time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3617 LNCS, pp. 637–644). Springer Verlag. https://doi.org/10.1007/11553595_78
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
