• DocumentCode
    2955579
  • Title

    Similarity-based image retrieval from plural key images by self-organizing map with refractoriness

  • Author

    Tanirnizu, H. ; Osana, Yuko

  • Author_Institution
    Tokyo Univ. of Technol., Tokyo
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    In this research, we propose a similarity-based image retrieval from plural key images by self-organizing map with refractoriness. In the self-organizing map with refractoriness, the plural neurons in the map layer corresponding to the input can fire sequentially because of the refractoriness. The proposed image retrieval system from plural key images using the self-organizing map with refractoriness makes use of this property in order to retrieve plural similar images. In this image retrieval system, as the image feature, not only color information but also spectrum, impression words and keywords are employed. In the proposed system, the similarity-based image retrieval from plural key images can be realized. We carried out a series of computer experiments and confirmed that the effectiveness of the proposed system.
  • Keywords
    image retrieval; self-organising feature maps; image feature; map layer; plural key images; self-organizing map; similarity-based image retrieval; Artificial neural networks; Associative memory; Biological neural networks; Brain modeling; Chaos; Fires; Image retrieval; Information processing; Information retrieval; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4633890
  • Filename
    4633890