Histogram refinement for content-based image retrieval

@article{Pass1996HistogramRF,
  title={Histogram refinement for content-based image retrieval},
  author={Greg Pass and Ramin Zabih},
  journal={Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96},
  year={1996},
  pages={96-102}
}
  • G. Pass, R. Zabih
  • Published 2 December 1996
  • Computer Science
  • Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96
Color histograms are widely used for content-based image retrieval. [...] Key Method Histogram refinement splits the pixels in a given bucket into several classes, based upon some local property. Within a given bucket, only pixels in the same class are compared. We describe a split histogram called a color coherence vector (CCV), which partitions each histogram bucket based on spatial coherence. CCVs can be computed at over 5 images per second on a standard workstation. A database with 15,000 images can be…Expand
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