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IPAL Inter-Media Pseudo-Relevance Feedback Approach to ImageCLEF 2006 Photo Retrieval

Nicolas Maillot Jean-Pierre Chevallet 1 Vlad Valea Joo Hwee Lim
1 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
Inria - Institut National de Recherche en Informatique et en Automatique, LIG - Laboratoire d'Informatique de Grenoble
Abstract : 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.
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Contributor : Marie-Christine Fauvet <>
Submitted on : Friday, February 28, 2014 - 4:13:22 PM
Last modification on : Friday, October 25, 2019 - 1:26:23 AM


  • HAL Id : hal-00954108, version 1



Nicolas Maillot, Jean-Pierre Chevallet, Vlad Valea, Joo Hwee Lim. IPAL Inter-Media Pseudo-Relevance Feedback Approach to ImageCLEF 2006 Photo Retrieval. Working Notes for the CLEF 2006 Workshop, 20-22 September, 2006, Alicante, Spain. ⟨hal-00954108⟩



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