Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring

  title={Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring},
  author={Slim Essid and C{\'e}dric F{\'e}votte},
  journal={IEEE Transactions on Multimedia},
This paper introduces a new paradigm for unsupervised audiovisual document structuring. In this paradigm, a novel Nonnegative Matrix Factorization (NMF) algorithm is applied on histograms of counts (relating to a bag of features representation of the content) to jointly discover latent structuring patterns and their activations in time. Our NMF variant employs the Kullback-Leibler divergence as a cost function and imposes a temporal smoothness constraint to the activations. It is solved by a… CONTINUE READING
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