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

1997

@inproceedings{FBA1997,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Thomas Frese and Charles A. Bouman and Jan P. Allebach},
	title =	{Methodology for Designing Image Similarity Metrics Based
	on Human Visual System Models},
	editor =	{Bernice E. Rogowitz and Thrasyvoulos N. Pappas},
	booktitle =	{Human Vision and Electronic Imaging II},
	address =	{San Jose, CA, USA},
	volume =	{3016},
	series =	{SPIE Proceedings},
	pages =	{472--483},
	month =	{9--15~February},
	year =	{1997},
	url =	{http://shay.ecn.purdue.edu/\~{}frese/imagsim/spie_paper.pdf},
	url1 =	{http://shay.ecn.purdue.edu/\~{}frese/imagsim/spie_paper.ps.gz},
	abstract =	{In this paper we present an image similarity metric for
	content-based image database search. The similarity metric is based on
	a multiscale model of the human visual system. This multiscale model
	includes channels which account for perceptual phenomena such as color,
	contrast, color-contrast and orientation selectivity. From these
	channels, we extract features and then form an aggregate measure of
	similarity using a weighted linear combination of the feature
	differences. The choice of features and weights is made to maximize the
	consistency with similarity ratings made by human subjects. In
	particular, we use a visual test to collect experimental image matching
	data. We then define a cost function relating the distances computed by
	the metric to the choices made by the human subject. The results
	indicate that features corresponding to contrast, color-contrast and
	orientation can significantly improve search performance. Furthermore,
	the systematic optimization and evaluation strategy using the visual
	test is a general tool for designing and evaluating image similarity
	metrics.},
}