• DocumentCode
    2207451
  • Title

    Image retrieval and segmentation based on color invariants

  • Author

    Geusebroek, Jan-Mark ; Koelma, D. ; Smeulders, Arnold W M ; Gevers, Dennis Koelma Theo

  • Author_Institution
    Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    784
  • Abstract
    We will demonstrate our CVPR2000 paper “Measurement of Color Invariants” for the cases of image retrieval based on query by example and for color image segmentation. Both are of importance in content based access of image and video data. We demonstrate the usefulness of the proposed color invariants in image retrieval by example systems. We show that an image retrieval query should include the type of invariance expected in the result. We demonstrate such queries by using the “ImageSurf” retrieval system. Segmentation of images based on the proposed color invariants is demonstrated by the “PicToVision” system. The system provides image processing functionality through the world wide web, and is publicly accessible at www.science. uva.nl/research/isis.pictovision.html
  • Keywords
    image colour analysis; image retrieval; image segmentation; color image segmentation; color invariants; image retrieval; segmentation; Color; Image databases; Image processing; Image retrieval; Image segmentation; Image storage; Java; Shape; Spatial databases; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.854957
  • Filename
    854957