• DocumentCode
    1613400
  • Title

    IRTF: Image Retrieval through Fuzzy Modeling

  • Author

    Lakdashti, Abolfazl ; Moin, M. Shahram ; Badie, Kambiz

  • Author_Institution
    Islamic Azad Univ., Sari
  • fYear
    2008
  • Firstpage
    490
  • Lastpage
    494
  • Abstract
    Semantic-based image retrieval has been one of the most challenging problems in recent years. Although so many solutions is provided for filling the so-called gap between the content based image retrieval and what human beings expect from the retrieval task, non of them yields satisfactory results and the problem is still open for further research. In this paper, we use fuzzy modeling to solve this problem which opens a new category of solutions. Our experiments show that using fuzzy modeling improves the image retrieval performance and has many benefits with respect to other solutions which brings us on further research in it.
  • Keywords
    content-based retrieval; fuzzy set theory; image retrieval; content-based image retrieval; fuzzy modeling; semantic gap; Algorithm design and analysis; Birds; Communications Society; Content based retrieval; Data mining; Filling; Fuzzy systems; Humans; Image retrieval; Information retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.97
  • Filename
    4533133