Sparse binarised statistical dynamic features for spatio-temporal texture analysis

@article{Arashloo2019SparseBS,
  title={Sparse binarised statistical dynamic features for spatio-temporal texture analysis},
  author={Shervin Rahimzadeh Arashloo},
  journal={Signal, Image and Video Processing},
  year={2019},
  volume={13},
  pages={575-582}
}
The paper presents a new spatio-temporal learning-based descriptor called binarised statistical dynamic features (BSDF) for representation and classification of dynamic texture. The BSDF descriptor operates by applying three-dimensional spatio-temporal filters on local voxels of an image sequence where the filters are learned via an independent component analysis, maximising independence over spatial and temporal domains concurrently. The BSDF representation is formed by binarising filter… CONTINUE READING
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