A multi-sample, multi-tree approach to bag-of-words image representation for image retrieval

@article{Wu2009AMM,
  title={A multi-sample, multi-tree approach to bag-of-words image representation for image retrieval},
  author={Zhong Wu and Qifa Ke and Jian Sun and Harry Shum},
  journal={2009 IEEE 12th International Conference on Computer Vision},
  year={2009},
  pages={1992-1999}
}
The state-of-the-art content based image retrieval systems has been significantly advanced by the introduction of SIFT features and the bag-of-words image representation. Converting an image into a bag-of-words, however, involves three non-trivial steps: feature detection, feature description, and feature quantization. At each of these steps, there is a significant amount of information lost, and the resulted visual words are often not discriminative enough for large scale image retrieval… CONTINUE READING
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