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Poster communications

Query Understanding in Content-Based Image Retrieval Context

Emilie Naud 1 Khalid Idrissi 1 Bruno Tellez 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Queries in content-based image retrieval are usually ill-defined since the variability of query attributes is not explicitly specified and depends on user tolerance. In this paper, we aim at determining the query variability from user interaction and integrating it into the search process by adapting the calculated similarity to a perceived one. We examine in-depth the query understanding in the case of object retrieval. Our method is tested on the system THIS , results are promising.
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Poster communications
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Submitted on : Friday, September 8, 2017 - 10:34:45 AM
Last modification on : Tuesday, June 1, 2021 - 2:08:09 PM


  • HAL Id : hal-01583960, version 1


Emilie Naud, Khalid Idrissi, Bruno Tellez. Query Understanding in Content-Based Image Retrieval Context. International Workshop on Content Based Mulimedia Indexing - 2007, Jun 2007, Bordeaux, France. pp.334-337, 2007. ⟨hal-01583960⟩



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