Image classification by visual bag-of-words refinement and reduction

@article{Lu2016ImageCB,
  title={Image classification by visual bag-of-words refinement and reduction},
  author={Zhiwu Lu and L. Wang and Ji-Rong Wen},
  journal={ArXiv},
  year={2016},
  volume={abs/1501.04292}
}
  • Zhiwu Lu, L. Wang, Ji-Rong Wen
  • Published 2016
  • Computer Science
  • ArXiv
  • This paper presents a new framework for visual bag-of-words (BOW) refinement and reduction to overcome the drawbacks associated with the visual BOW model which has been widely used for image classification. Although very influential in the literature, the traditional visual BOW model has two distinct drawbacks. Firstly, for efficiency purposes, the visual vocabulary is commonly constructed by directly clustering the low-level visual feature vectors extracted from local keypoints, without… CONTINUE READING
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