Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
A unified environment for fusion of information retrieval approaches
Proceedings of the eighth international conference on Information and knowledge management
A compact and efficient image retrieval approach based on border/interior pixel classification
Proceedings of the eleventh international conference on Information and knowledge management
The CLEF 2005 cross–language image retrieval track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
The CLEF 2005 Automatic Medical Image Annotation Task
International Journal of Computer Vision
The CLEF 2005 cross–language image retrieval track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
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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.