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

2004

@inproceedings{MSV2004,
	vgclass =	{refpap},
	author =	{Rokia Missaoui and M. Sarifuddin and Jean Vaillancourt},
	title =	{An Effective Approach Towards Content-Based Image
	Retrieval},
	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 =	{335--343},
	publisher =	{Springer-Verlag},
	month =	{July~21--23},
	year =	{2004},
	url =	{http://www.springerlink.com/link.asp?id=rbfw1nyk9d01p8w2},
	abstract =	{This paper describes a content-based approach to improve
	image retrieval effectiveness. First, we define two new measures for
	computing similarity among images based on color histograms, namely the
	dissimilitude distance DS* and the similarity distance E. The latter is
	incorporated into the exponentiation part of the Gibbs distribution and
	into the generalized Dirichlet mixture, while the former is compared to
	five similarity measures: L1, L2 (Euclidean distance), E as well as
	Gibbs and Dirichlet distributions integrating the similarity measure E.
	Then, in order to overcome the limitations (and inappropriateness) of
	some previous information retrieval measures in evaluating the
	efficiency of an image retrieval process, three variants of a new
	effectiveness measure are proposed and experimented on an image
	collection for different similarity distances.},
}