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Optimized Image Retrieval System in Oracle DBMS

Author

Listed:
  • Kaouther Zekri

    (ENIT, Tunis, Tunisia)

  • Amel Grissa Touzi

    (FST, ENIT, Tunis, Tunisia)

  • Noureddine Ellouze

    (ENIT, Tunis, Tunisia)

Abstract

In this work, the authors are moving towards the creation of an effective image retrieval system in Oracle DBMS. Several DBMSs have been extensively used to manage the textual information stored with images and CBIR tasks usually rely on specific applications. The separation between the DBMSs and CBIR prevents the optimization of integrated search process based on the connection between the textual and visual content description of image. Moreover, the relevance of image retrieval depends directly on the choice of similarity criteria (color, texture, shape) that can give inaccurate results in case of non-trivial selection of these parameters. The purpose of the authors' approach is to build a CBIR system using advanced and integrated retrieval techniques defined in Oracle DBMS. This approach provides an assistance tool that can guide the user to the appropriate choice of search criteria. The authors present an experimental part that measures the performance of their system, which can help the user to correctly model his query by giving the appropriate retrieval criteria for a database with 800 images.

Suggested Citation

  • Kaouther Zekri & Amel Grissa Touzi & Noureddine Ellouze, 2017. "Optimized Image Retrieval System in Oracle DBMS," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 8(1), pages 1-17, January.
    • Handle: RePEc:igg:jssmet:v:8:y:2017:i:1:p:1-17
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