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OVIS: ontology video surveillance indexing and retrieval system

  • Mohammed Yassine Kazi TaniEmail author
  • Abdelghani Ghomari
  • Adel Lablack
  • Ioan Marius Bilasco
Regular Paper

Abstract

Nowadays, the diversity and large deployment of video recorders result in a large volume of video data, whose effective use requires a video indexing process. However, this process generates a major problem consisting in the semantic gap between the extracted low-level features and the ground truth. The ontology paradigm provides a promising solution to overcome this problem. However, no naming syntax convention has been followed in the concept creation step, which constitutes another problem. In this paper, we have considered these two issues and have developed a full video surveillance ontology following a formal naming syntax convention and semantics that addresses queries of both academic research and industrial applications. In addition, we propose an ontology video surveillance indexing and retrieval system (OVIS) using a set of semantic web rule language (SWRL) rules that bridges the semantic gap problem. Currently, the existing indexing systems are essentially based on low-level features and the ontology paradigm is used only to support this process with representing surveillance domain. In this paper, we developed the OVIS system based on the SWRL rules and the experiments prove that our approach leads to promising results on the top video evaluation benchmarks and also shows new directions for future developments.

Keywords

Video surveillance ontology Video indexing Crowdsourced events Semantic gap Naming syntax convention OVIS system SWRL rules 

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Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  • Mohammed Yassine Kazi Tani
    • 1
    Email author
  • Abdelghani Ghomari
    • 1
  • Adel Lablack
    • 2
  • Ioan Marius Bilasco
    • 2
  1. 1.RIIR Laboratory, Computer Science Department, Exact Sciences and Applied FacultyUniversity of Oran 1 Ahmed Ben BellaOranAlgeria
  2. 2.Research Center in Signal Informatics and Automatic of Lille (CRIStAL)University of Lille 1LilleFrance

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