IPAL Inter-Media Pseudo-Relevance Feedback Approach to ImageCLEF 2006 Photo Retrieval
Résumé
This document describes the participation to ImageCLEF 2006 photographic retrieval task of the IPAL lab (Singaporean French collaboration) hosted at Institute for Infocomm Research, Singapore. This paper provides a description of the way results has been produced. The text/image database used is IAPR We have tested a cooperative use of a text retrieval and an image retrieval engine. We show in particular how inter-media re-ranking and pseudo-relevance feedback have been used for producing the results. We have also tested Latent Semantic Analysis (LSA) approach on visual runs. WordNet thesaurus has been used for pre-processing textual annotations within spell checking corrections. Our approach is completely automatic. A description of the runs submitted to the competition is also given.