Bayesian Order-Adaptive Clustering for Video Segmentation

  title={Bayesian Order-Adaptive Clustering for Video Segmentation},
  author={Peter Orbanz and Samuel Braendle and Joachim M. Buhmann},
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayesian clustering problem. Context information is propagated over time by a conjugate structure. The level of segment resolution is controlled by a Dirichlet process prior. Our contributions include a conjugate nonparametric Bayesian model for clustering in multivariate time series, a MCMC inference algorithm, and a… CONTINUE READING

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