Merging Results from Different Media: Lic2m Experiments at ImageCLEF 2005

In the ImageCLEF 2005 campaign, the LIC2M participated in the ad hoc task, the medical task and the annotation task. For both ad hoc and medical task, we perform experiments on merging the results of two independent search systems: a crosslanguage information retrieval system exploiting the text part of the query and a content-based image retrieval system exploiting the example images given with the query. The results show that a well-tuned merging may improve performance, but the tuning is made difficult because the performance of each system highly depends on the corpus and queries. Annotation task has been performed using a KNN classifier with the image indexes of our CBIR system.