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Soccer Videos Highlight Prediction and Annotation in Real Time

  • M. Bertini
  • A. Del Bimbo
  • W. Nunziati
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

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.

Keywords

Bayesian Network Attack Action Goal Post Sport Video Soccer Video 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • M. Bertini
    • 1
  • A. Del Bimbo
    • 1
  • W. Nunziati
    • 1
  1. 1.Università di FirenzeFirenzeItalia

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