Weighted bag of visual words for object recognition

@article{SanBiagio2014WeightedBO,
  title={Weighted bag of visual words for object recognition},
  author={Marco San-Biagio and Loris Bazzani and Marco Cristani and Vittorio Murino},
  journal={2014 IEEE International Conference on Image Processing (ICIP)},
  year={2014},
  pages={2734-2738}
}
Bag of Visual words (BoV) is one of the most successful strategy for object recognition, used to represent an image as a vector of counts using a learned vocabulary. This strategy assumes that the representation is built using patches that are either densely extracted or sampled from the images using feature detectors. However, the dense strategy captures also the noisy background information, whereas the feature detection strategy can lose important parts of the objects. In this paper we… CONTINUE READING
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