CLaC at ImageCLEF 2009
Osama El Demerdash, Sabine Bergler, Leila Kosseim · 2009
This paper describes our participation at ImageCLEF 2009. We participated in the photographic retrieval task (ImageCLEFPhoto). Our method is based on intermedia pseudo-relevance feedback. We have enhanced the pseudo-relevance feedback mecha-nism by using semantic selectional restrictions. We use Terrier for text retrieval and our own simple block-based visual retrieval engine. The results obtained at image-CLEF 2009 show that our method is robust and promising. However, there is room for improvement on the visual retrieval as well as the topics without cluster descriptions.