• DocumentCode
    2457456
  • Title

    Content-based image retrieval using Fourier descriptors on a logo database

  • Author

    Folkers, Andre ; Samet, Hanan

  • Author_Institution
    Inst. for Signal Process., Med. Univ. of Lubeck, Germany
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    521
  • Abstract
    A system that enables the pictorial specification of queries in an image database is described. The queries are comprised of rectangle, polygon, ellipse, and B-spline shapes. The queries specify which shapes should appear in the target image as well as spatial constraints on the distance between them and their relative position. The retrieval process makes use of an abstraction of the contour of the shape which is invariant against translation, scale, rotation, and starting point, that is based on the use of Fourier descriptors. These abstractions are used in a system to locate logos in an image database. The utility of this approach is illustrated using some sample queries.
  • Keywords
    Fourier analysis; content-based retrieval; database theory; edge detection; image retrieval; visual databases; Fourier descriptors; content-based retrieval; image database; image retrieval; logos; pictorial query processing; pictorial specification; shape contour abstraction; spatial constraints; Biomedical imaging; Computer science; Content based retrieval; Educational institutions; Image databases; Image retrieval; Information retrieval; Shape; Signal processing; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1047991
  • Filename
    1047991