• DocumentCode
    2378280
  • Title

    Fuzzy signatures organized using S-Tree

  • Author

    Snasel, Vaclav ; Horak, Zdenek ; Kudelka, Milos ; Abraham, Ajith

  • Author_Institution
    Dept. of Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava-Poruba, Czech Republic
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    633
  • Lastpage
    637
  • Abstract
    In this paper we explore the possibility of an efficient organization of fuzzy signatures using the so-called S-Tree. We illustrate the usefullnes of the presented approach on a real-world example of a content-based image retrieval system. Images from the dataset are described using a fuzzy set of features. This description can be translated into a fuzzy signature and these signatures can be stored in a tree structure - similar to the B+tree - that allows efficient retrieval. Several variants are considered and evaluated.
  • Keywords
    content-based retrieval; digital signatures; fuzzy set theory; image retrieval; tree data structures; B+tree; content based image retrieval system; fuzzy set; fuzzy signatures; s-tree; tree structure; Data structures; Feature extraction; Lattices; Organizations; Vectors; Vegetation; Weight measurement; data processing; fuzzy sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083782
  • Filename
    6083782