Vector-based approach to color image retrieval

Dimitrios Androutsos; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos

doi:10.1117/12.325842

5 October 1998 Vector-based approach to color image retrieval

Dimitrios Androutsos, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos

Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325842
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Dimitrios Androutsos, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos "Vector-based approach to color image retrieval", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325842

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