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Training-free indexing refinement for visual media via multi-semantics
2017
Neurocomputing
* factorization and neighbourhood-based graph propagation are both used in the refinement of semantics. Furthermore, any available ontological concept relationships among concepts can also be integrated into this model as an additional source of external a priori knowledge. Extended experiments on two heterogeneous datasets, images from wearable cameras and videos from TRECVid, demonstrate the efficacy of the proposed TFR solution.
doi:10.1016/j.neucom.2016.08.107
fatcat:u33uvlfc2bclrkyckr4c6mqmu4