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Proceedings Paper

Vector-based approach to color image retrieval
Author(s): Dimitrios Androutsos; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos
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Paper Abstract

In this paper we present a novel technique for image retrieval based on color. Our system is based on color segmentation where only a small number of representative color vectors are extracted from each image and used to build 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, along with popular histogram techniques, and find that angular directional measures using our technique provide more accurate and perceptually relevant retrievals.

Paper Details

Date Published: 5 October 1998
PDF: 8 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325842
Show Author Affiliations
Dimitrios Androutsos, Univ. of Toronto (Canada)
Konstantinos N. Plataniotis, Ryerson Polytechnic Univ. (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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