Abstract. The ostensive model assumes that a user’s information need is dynamic and developing, thus, a recently accessed object can be seen as more indicative to the current inf...
Thomson Legal and Regulatory participated in the CLEF-2004 monolingual and bilingual tracks. Monolingual experiments included Portuguese, Russian and Finnish. We investigated a ne...
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...