Effective and Efficient Global Context Verification for Image Copy Detection

@article{Zhou2017EffectiveAE,
  title={Effective and Efficient Global Context Verification for Image Copy Detection},
  author={Zhili Zhou and Yunlong Wang and Q. M. Jonathan Wu and Ching-Nung Yang and Xingming Sun},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2017},
  volume={12},
  pages={48-63}
}
To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on the bag-of-visual-words (BOW) model, in which local features are quantized into visual words for image matching. However, both the limited discriminability of local features and the BOW quantization errors will lead to many false local matches, which make it hard to distinguish similar images from copies. Geometric consistency verification is a popular technology for reducing the false matches, but it… CONTINUE READING

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