Fuzzy reasoning framework to improve semantic video interpretation

@article{Zarka2016FuzzyRF,
  title={Fuzzy reasoning framework to improve semantic video interpretation},
  author={Mohamed Zarka and Anis Ben Ammar and Adel M. Alimi},
  journal={Multimedia Tools and Applications},
  year={2016},
  volume={75},
  pages={5719-5750}
}
A video retrieval system user hopes to find relevant information when the proposed queries are ambiguous. The retrieval process based on detecting concepts remains ineffective in such a situation. Potential relationships between concepts have been shown as a valuable knowledge resource that can enhance the retrieval effectiveness, even for ambiguous queries. Recent researches in multimedia retrieval have focused on ontology modeling as a common framework to manage knowledge. Handling these… 

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