Interactive image retrieval using smoothed nearest neighbor estimates

Authors:
Miguel Arevalillo-Herráez;Francesc J. Ferri
Affiliations:
Departament d'Informàtica, Universitat de València, Burjassot, València, Spain;Departament d'Informàtica, Universitat de València, Burjassot, València, Spain
Venue:
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Year:
2010

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Abstract

Relevance feedback has been adopted by most recent Content Based Image Retrieval systems to reduce the semantic gap that exists between the subjective similarity among images and the similarity measures computed in a given feature space. Distance-based relevance feedback using nearest neighbors has been recently presented as a good tradeoff between simplicity and performance. In this paper, we analyse some shortages of this technique and propose alternatives that help improving the efficiency of the method in terms of the retrieval precision achieved. The resulting method has been evaluated on several repositories which use different feature sets. The results have been compared to those obtained by the nearest neighbor approach in its standard form, suggesting a better performance.