Unsupervised clustering of dominant scenes in sports video

@article{Lu2003UnsupervisedCO,
  title={Unsupervised clustering of dominant scenes in sports video},
  author={Hong Lu and Yap-Peng Tan},
  journal={Pattern Recognition Letters},
  year={2003},
  volume={24},
  pages={2651-2662}
}
We propose a new and efficient approach for clustering dominant scenes in sports video. To perform clustering in an unsupervised manner, we devise a recursive peer-group filtering (PGF) scheme to identify prototypical shots for each dominant scene, and examine time coverage of these prototypical shots to decide the number of dominant scenes for each sports video under analysis. To improve clustering efficiency, we employ principal component analysis and linear discriminant analysis to project… CONTINUE READING

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