Learning Image Similarity from Flickr Groups Using Fast Kernel Machines

@article{Wang2012LearningIS,
  title={Learning Image Similarity from Flickr Groups Using Fast Kernel Machines},
  author={Gang Wang and Derek Hoiem and David A. Forsyth},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2012},
  volume={34},
  pages={2177-2188}
}
Measuring image similarity is a central topic in computer vision. In this paper, we propose to measure image similarity by learning from the online Flickr image groups. We do so by: Choosing 103 Flickr groups, building a one-versus-all multiclass classifier to classify test images into a group, taking the set of responses of the classifiers as features, calculating the distance between feature vectors to measure image similarity. Experimental results on the Corel dataset and the PASCAL VOC 2007… CONTINUE READING
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