Refereed full papers (journals, book chapters, international conferences)

2004

@article{YPJ2004,
	vgclass =	{refpap},
	author =	{Hun-Woo Yoo and Han-Soo Park and Dong-Sik Jang},
	title =	{Expert system for color image retrieval},
	journal =	{Expert Systems with Applications},
	year =	{2004},
	note =	{(in press)},
	url =	{http://dx.doi.org/10.1016/j.eswa.2004.10.018},
	abstract =	{Recently, as Web and various databases contain a large
	number of images, content-based image retrieval (CBIR) applications are
	greatly needed. This paper proposes a new image retrieval system using
	color-spatial information from those applications.

	First, this paper suggests two kinds of indexing keys to prune away
	irrelevant images to a given query image: major colors' set (MCS)
	signature related with color information and distribution block
	signature (DBS) related with spatial information. After successively
	applying these filters to a large database, we get only small amount of
	high potential candidates that are somewhat similar to a query image.
	Then we make use of the quad modeling (QM) method to set the initial
	weights of two-dimensional cell in a query image according to each
	major color. Finally, we retrieve more similar images from the database
	by comparing a query image with candidate images through a similarity
	measuring function associated with the weights.  In that procedure, we
	use a new relevance feedback mechanism. This feedback enhances the
	retrieval effectiveness by dynamically modulating the weights of
	color-spatial information. Experiments show that the proposed system is
	not only efficient but also effective.},
}