Content Based Image Retrieval using Bag-Of-Regions: an Efficient ApproachReport as inadecuate




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1 LaBRI - Laboratoire Bordelais de Recherche en Informatique

Abstract : In this work we introduce the Bag-Of-Regions model, in- spired from the Bag-Of-Visual-Words. Instead of clustering local image patches represented by SIFT or related descriptors, low level descriptors are extracted and clustered from image regions, as given by a segmen- tation algorithm. The Bag-Of-Region model allows to de ne visual dic- tionaries that capture extra information with respect to Bag-Of-Visual- Words. Combined description schemes and ad-hoc incremental clustering for visual dictionnaries are proposed. The results on public datasets are promising.

Keywords : Content Based Image Retrieval Bag-Of-Regions Incremental Clustering Meta-Search





Author: Remi Vieux - Jenny Benois-Pineau - Jean-Philippe Domenger -

Source: https://hal.archives-ouvertes.fr/



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