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 Qing Ming Jonathan Wu and Ching-Nung Yang and Xingming Sun},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2017},
  volume={12},
  pages={48-63}
}
  • Zhili Zhou, Yunlong Wang, +2 authors Xingming Sun
  • Published 2017
  • Computer Science
  • IEEE Transactions on Information Forensics and Security
  • 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. [...] Key Method More specifically, after obtaining initial scale invariant feature transform (SIFT) matches between images based on the BOW quantization, the overlapping region-based global context descriptor (OR-GCD) is proposed for the verification of these matches to filter false matches.Expand Abstract

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