Recognition of Semantic Basketball Events Based on Optical Flow Patterns

  title={Recognition of Semantic Basketball Events Based on Optical Flow Patterns},
  author={No Author Given},
  • No Author Given
  • Published 2009
This paper presents a set of novel features for classifying basketball video clips into semantic events and a simple way to use prior temporal context information to improve the accuracy of classification. Specifically, the feature set consists of a motion descriptor, motion histogram, entropy of the histogram and texture. The motion descriptor is defined based on a set of primitive motion patterns which are derived form optical flow field. The event recognition is achieved by using kernel SVMs… CONTINUE READING

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Multi-modal semantic analysis and annotation for basketball video

  • S. Liu, H. Yi, L. Chia, D. Rajan, S. Chan
  • Special Issue on Information Mining from…
  • 2006
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A unified framework for semantic shot classification in sports video

  • L. Duan, M. Xu, T. Chua, Q. Tian, C. Xu
  • IEEE Transaction on Multimedia. Volume 7.
  • 2005
3 Excerpts

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