• DocumentCode
    1964454
  • Title

    Efficient indexing of multi-color sets for content-based image retrieval

  • Author

    Mlsna, Phillip A. ; Rodríguez, Jeffrey J.

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Northern Arizona Univ., Flagstaff, AZ, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    116
  • Lastpage
    120
  • Abstract
    The color set concept of Smith and Chang (1995, 1996) is a useful and efficient approach to image indexing and querying in a way that combines color and spatial information. By indexing relatively important regions based on both their color content and their spatial locations, the color set method allows rapid retrieval of images matching a specified color-spatial query. To produce a color set representation for an image, it is necessary to determine the relevant color combinations that occur in the image. We present here a new technique for determine the relevant color combinations much more efficiently than the original algorithm. Using this refinement, the process of analyzing an image in order to produce a color set description becomes many times faster
  • Keywords
    content-based retrieval; database indexing; image colour analysis; image matching; image representation; set theory; visual databases; color set representation; content-based image retrieval; image analysis; image indexing; image matching; image querying; multi-color sets; spatial information; Birth disorders; Color; Computer science; Content based retrieval; Image analysis; Image databases; Image retrieval; Indexing; Query processing; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-7695-0595-3
  • Type

    conf

  • DOI
    10.1109/IAI.2000.839583
  • Filename
    839583