Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures

@inproceedings{Uysal2014EfficientFA,
  title={Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures},
  author={Merih Seran Uysal and Christian Beecks and Jochen Schm{\"u}cking and Thomas Seidl},
  booktitle={CIKM '14},
  year={2014}
}
  • Merih Seran Uysal, Christian Beecks, +1 author Thomas Seidl
  • Published in CIKM '14 2014
  • Computer Science
  • The Earth Mover's Distance, proposed in computer vision as a distance-based similarity model reflecting the human perceptual similarity, has been widely utilized in numerous domains for similarity search applicable on both feature histograms and signatures. While efficiency improvement methods towards the Earth Mover's Distance were frequently investigated on feature histograms, not much work is known to study this similarity model on feature signatures denoting object-specific feature… CONTINUE READING

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