TY - JFULL AU - Pierre-Alain Moëllic and Patrick Hède and Gr egory Grefenstette and Christophe Millet PY - 2007/5/ TI - Evaluating Content Based Image Retrieval Techniques with the One Million Images CLIC Test Bed T2 - International Journal of Computer and Information Engineering SP - 1096 EP - 1100 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/8472 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 4, 2007 N2 - 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. ER -