Object categorization by learned universal visual dictionary

  title={Object categorization by learned universal visual dictionary},
  author={John M. Winn and Antonio Criminisi and Tom Minka},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  pages={1800-1807 Vol. 2}
This paper presents a new algorithm for the automatic recognition of object classes from images (categorization). Compact and yet discriminative appearance-based object class models are automatically learned from a set of training images. The method is simple and extremely fast, making it suitable for many applications such as semantic image retrieval, Web search, and interactive image editing. It classifies a region according to the proportions of different visual words (clusters in feature… CONTINUE READING
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