A bayesian network approach to multi-feature based image retrieval

Authors:
Qianni Zhang;Ebroul Izquierdo
Affiliations:
Department of Electronic Engineering, Queen Mary, University of London, London, U.K.;Department of Electronic Engineering, Queen Mary, University of London, London, U.K.
Venue:
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Year:
2006

Citing 13
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Abstract

This paper aims at devising a Bayesian Network approach to object centered image retrieval employing non-monotonic inference rules and combining multiple low-level visual primitives as cue for retrieval. The idea is to model a global knowledge network by treating an entire image as a scenario. The overall process is divided into two stages: the initial retrieval stage which is concentrated on finding an optimal multi-feature space stage and doing a simple initial retrieval within this space; and the Bayesian inference stage which uses the initial retrieval information and seeks for a more precise second- retrieval.