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

2004

@inproceedings{PMZ2004,
	vgclass =	{refpap},
	author =	{Roman M. Palenichka and Rokia Missaoui and Marek B.
	Zaremba},
	title =	{Extraction of Salient Features for Image Retrieval Using
	Multi-scale Image Relevance Function},
	booktitle =	{Proceedings of the Third International Conference on Image
	and Video Retrieval (CIVR 2004)},
	address =	{Dublin, Ireland},
	number =	{3115},
	series =	{Lecture Notes in Computer Science},
	pages =	{428--437},
	publisher =	{Springer-Verlag},
	month =	{July~21--23},
	year =	{2004},
	url =	{http://www.springerlink.com/link.asp?id=avcflquhrxbx51en},
	abstract =	{The goal of the feature extraction method presented in
	this paper was to obtain a concise, robust, and invariant description
	of image content for image retrieval. The solution of this problem is
	chosen in the form of a visual attention operator, which can measure
	the saliency level of image fragments and can select a set of most
	salient image objects (feature vectors) for concise image description.
	The proposed operator, called image relevance function, is a
	multi-scale non-linear matched filter, whose local maxima provide the
	most salient image locations. A feature vector containing both local
	shape features and intensity features is extracted and normalized at
	each salient maximum point of the relevance function. The testing
	results of this method for retrieval of synthetic and real database
	images are provided.},
}