• DocumentCode
    2467266
  • Title

    Similarity-based image retrieval considering artifacts from a part of images by self-organizing map with refractoriness

  • Author

    Kuramochi, Yoji ; Fukazawa, Ryuhei ; Osana, Yuko

  • Author_Institution
    Sch. of Comput. Sci., Tokyo Univ. of Technol., Tokyo, Japan
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1045
  • Lastpage
    1050
  • Abstract
    In this paper, we propose a similarity-based image retrieval from a part of images by self-organizing map with refractoriness. Most of the conventional image retrieval systems can retrieve only from whole image. In contrast, the proposed system can retrieve similar images not only from whole image but also from a part of image. We carried out a series of computer experiments and confirmed the effectiveness of the proposed system.
  • Keywords
    image retrieval; self-organising feature maps; artifacts; refractoriness; self-organizing map; similarity-based image retrieval; Educational institutions; Feature extraction; Image color analysis; Image retrieval; Neurons; Search problems; Vectors; A Part of Image; Self-Organizing Map; Similarity-based Image Retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377867
  • Filename
    6377867