Detecting image near-duplicate by stochastic attributed relational graph matching with learning

@inproceedings{Zhang2004DetectingIN,
  title={Detecting image near-duplicate by stochastic attributed relational graph matching with learning},
  author={DongQing Zhang and Shih-Fu Chang},
  booktitle={ACM Multimedia},
  year={2004}
}
Detecting Image Near-Duplicate (IND) is an important problem in a variety of applications, such as copyright infringement detection and multimedia linking. Traditional image similarity models are often difficult to identify IND due to their inability to capture scene composition and semantics. We present a part-based image similarity measure derived from stochastic matching of Attributed Relational Graphs that represent the compositional parts and part relations of image scenes. Such a… CONTINUE READING
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