Cluster - based Image Retrieval Method Using RAGMD


The KIPS Transactions:PartB , Vol. 9, No. 1, pp. 113-118, Feb. 2002
10.3745/KIPSTB.2002.9.1.113,   PDF Download:

Abstract

This paper presents a cluster-based image retrieval method. It retrieves images from a related cluster after classifying images into clusters using RAGMD, a clustering technique. When images are retrieved, first they are retrieved not from the whole image database one by one but from the similar cluster, a similar small image group with a query image. So it gives us retrieval-time reduction, keeping almost the same precision with the exhaustive retrieval. In the experiment using an image database consisting of about 2,400 real images, it shows that the proposed method is about 18 times faster than the exhaustive method with almost same precision and it can retrieve more similar images which belong to the same class with a query image.


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Cite this article
[IEEE Style]
S. H. Jung and W. S. Lee, "Cluster - based Image Retrieval Method Using RAGMD," The KIPS Transactions:PartB , vol. 9, no. 1, pp. 113-118, 2002. DOI: 10.3745/KIPSTB.2002.9.1.113.

[ACM Style]
Sung Hwan Jung and Woo Sun Lee. 2002. Cluster - based Image Retrieval Method Using RAGMD. The KIPS Transactions:PartB , 9, 1, (2002), 113-118. DOI: 10.3745/KIPSTB.2002.9.1.113.