• DocumentCode
    3503851
  • Title

    An effective method for combining multiple features of image retrieval

  • Author

    Jeong, Seyoon ; Kim, Kyuheon ; Chun, Byungtae ; Lee, Jaeyeon ; Bae, Younglae J.

  • Author_Institution
    Dept. of Image Process., Electron. & Telecommun. Res. Inst., Taejon, South Korea
  • Volume
    2
  • fYear
    1999
  • fDate
    36495
  • Firstpage
    982
  • Abstract
    We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature
  • Keywords
    feature extraction; image colour analysis; image retrieval; image texture; pattern recognition; Borda count method; color-based retrieval systems; combining multiple experts; combining multiple features; false positive errors reduction; image retrieval system; pattern recognition; shape-based retrieval systems; texture-based retrieval systems; Content based retrieval; Equations; Fuzzy neural networks; Image processing; Image retrieval; Laboratories; Pattern recognition; Shape; Software; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 99. Proceedings of the IEEE Region 10 Conference
  • Conference_Location
    Cheju Island
  • Print_ISBN
    0-7803-5739-6
  • Type

    conf

  • DOI
    10.1109/TENCON.1999.818585
  • Filename
    818585