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

@article{Soares2012SpatialLW,
  title={Spatial Locality Weighting of Features Using Saliency Map with a Bag-of-Visual-Words Approach},
  author={Robson de Carvalho Soares and Ilm{\'e}rio Reis da Silva and Denise Guliato},
  journal={2012 IEEE 24th International Conference on Tools with Artificial Intelligence},
  year={2012},
  volume={1},
  pages={1070-1075}
}
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… CONTINUE READING
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