Title :
Distance measures for color image retrieval
Author :
Androutsos, D. ; Plataniotis, K.N. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
We address the issue of image database retrieval based on color using various vector distance metrics. Our system is based on color segmentation where only a few representative color vectors are extracted from each image and used as image indices. These vectors are then used with vector distance measures to determine similarity between a query color and a database image. We test numerous popular vector distance measures in our system and find that directional measures provide the most accurate and perceptually relevant retrievals
Keywords :
content-based retrieval; feature extraction; image colour analysis; image segmentation; visual databases; visual perception; color image retrieval; color segmentation; color vectors extraction; content based image retrieval; directional measures; human color perception; image database retrieval; image indices; query color; similarity; vector distance measures; Color; Content based retrieval; Histograms; Humans; Image databases; Image retrieval; Image segmentation; Image storage; Indexing; Information retrieval;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723652
