%0 Journal Article
	%A Pierre-Alain Moëllic and  Patrick Hède and  Gr egory Grefenstette and  Christophe Millet
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 4, 2007
	%T Evaluating Content Based Image Retrieval Techniques with the One Million Images CLIC Test Bed 
	%U https://publications.waset.org/pdf/8472
	%V 4
	%X Pattern recognition and image recognition methods are commonly developed and tested using testbeds, which contain known responses to a query set. Until now, testbeds available for image analysis and content-based image retrieval (CBIR) have been scarce and small-scale. Here we present the one million images CEA-List Image Collection (CLIC) testbed that we have produced, and report on our use of this testbed to evaluate image analysis merging techniques. This testbed will soon be made publicly available through the EU MUSCLE Network of Excellence.

	%P 1097 - 1100