Spatial Locality Weighting of Features Using Saliency Map with a Bag-of-Visual-Words Approach

In this paper we propose a new descriptor for content-based image retrieval that explores the locality of features. We propose to extend the bag-of-visual-words method by weighting the visual words according to their spatial locality in terms of foreground and background by using fuzzy saliency models. We evaluated our method using databases that obtains images with different conditions of illumination, color, rigid and scale transformations, and changes of the background. The analysis of the results demonstrated that our proposal presents significant improvements over competitive approaches.