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
Link To Document