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Stochastic Modeling of Video Events

  • Milan Petković
  • Willem Jonker
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (MMSA, volume 25)

Abstract

Although we have demonstrated in the previous chapter that spatiotemporal formalization can be used for inferring video semantics from low-level feature representations and extracting events like net-playing and rally, the presented approach has some drawbacks. Firstly, it is essentially restricted to the extent of recognizable events, since it might become difficult to formalize complex actions of non-rigid objects using the proposed approach. This especially holds for an ordinary user who is not familiar with video features and spatio-temporal reasoning. An expert can help, but even then for some events the approach will not grant the best results. If we consider the tennis strokes for example, one can argue that they can be formalized like in the last section of the previous chapter. However, that will not result in reasonable accuracy (see [1] for example). On the other hand, introducing the ball position and some other features in the event descriptions might increase the accuracy, but unfortunately, it will make these descriptions too complicated. Furthermore, it is very difficult to find and track the ball because of its high speed (can be more than 200km/h) and occlusion problems. Finally, the proposed approach requires that someone, either a user or an expert, creates object and event descriptions, which can be time-consuming and error-prone.

Keywords

Hide Markov Model Bayesian Network Audio Signal Dynamic Bayesian Network Text Detection 
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 Science+Business Media New York 2004

Authors and Affiliations

  • Milan Petković
    • 1
  • Willem Jonker
    • 2
  1. 1.University of TwenteThe Netherlands
  2. 2.University of Twente and Philips ResearchThe Netherlands

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