Data fusion of retrieval results from different media: Experiments at ImageCLEF 2005

Abstract

The CEA-LIST/LIC2M develops both multilingual text retrieval systems and content-based image indexing and retrieval systems. These systems are developed independently. The merging of the results of the two systems is one of the important research interests in our lab. We tested several simple merging techniques in the ImageCLEF 2005 campaign. The analysis of our results show that improved performance can be obtained by appropriately merging the two media. However, an a-priori tuning of the merging parameters is difficult because the performance of each system highly depends on the corpus and queries. © Springer-Verlag Berlin Heidelberg 2006.