Video exploration tool based on semantic network

  • Authors:
  • Jamel Slimi;Sadek Mansouri;Anis Ben Ammar;Adel M. Alimi

  • Affiliations:
  • University of sfax, Tunisia;University of sfax, Tunisia;University of sfax, Tunisia;University of sfax, Tunisia

  • Venue:
  • Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
  • Year:
  • 2013

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Abstract

We present a browser and an effective retrieval video system based on semantic network. The semantic network is given by a similarity distance computation between the elements of the video data corpus. The similarity distance is obtained by combination between conceptual similarity and contextual similarity.