MIRACLE-GSI at ImageCLEFphoto 2008: Experiments on Semantic and Statistical Topic Expansion

The architecture of our system is composed of four different modules: the textual (text-based) retrieval module, which indexes descriptions in order to search and find the

Run 7 – Mixed: A visual and a semantic retrieval are applied as in the runs 5 and 6 and the results are combined using percentages(80-20) for the text retrieval and image

To generate the feature vectors at different levels of abstraction, we extract both visual concept- based feature based on a “bag of concepts” model comprising color and texture

The main objective of ImageCLEFphoto for 2008 comprised the evaluation of ad-hoc multilingual visual information retrieval systems from a general collection of annotated

Given the high level semantic content of the topics, search engines based solely on text or visual descriptors are unlikely to offer satisfactory results.. Our system uses several

Thus, the system is built up from three main different components: Text-based retrieval module, Image-content based retrieval module and the Merging module that is in charge of

The ex- perimental results of monolingual retrieval showed that the use of hierarchical clustering can enhance the instance recall such that the top ranked images are diverse in

The architecture of our system is composed of four different modules: the textual (text-based) retrieval module, which indexes medical case descriptions in order to search