2006 | OriginalPaper | Buchkapitel
A Bayesian Network Approach to Multi-feature Based Image Retrieval
verfasst von : Qianni Zhang, Ebroul Izquierdo
Erschienen in: Semantic Multimedia
Verlag: Springer Berlin Heidelberg
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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.