ImageCLEF and ImageCLEFmed: Toward standard test collections for image storage and retrieval research
Abebe Rorissa, Abebe Rorissa, Paul David Clough, William Hersh, Abebe Rorissa, Abebe Rorissa, Miguel E. Ruiz · Proceedings of the American Society for Information Science and Technology · 2006
The astronomical growth in the creation/production and use of still images (photos, medical images, etc.) coupled with the need for new and improved systems for their storage and retrieval attracted more interest from both researchers and practitioners.Current research in the areas of still image representation and retrieval is uncoordinated.Almost every individual researcher or research center uses a different collection to select materials for his/her research.As a result it is very difficult to compare results from various studies.Whether researchers are working on the development of a taxonomy or a thesaurus for an image collection or testing a content based image retrieval algorithm, a standard test collection is invaluable if their research results are to have any wider impact.There is a need for standard image test collections in order to address the disparity in image research, in terms of materials (images) used, and compare research results across studies.