ML Anthology

The Capacity of Color Histogram Indexing

Markus A. Stricker, Michael J. Swain
CVPR 1994 pp. 704-708
doi:10.1109/CVPR.1994.323774 /cvpr/1994/stricker1994cvpr-capacity/

Abstract

Color histogram matching has been shown to be a promising way of quickly indexing into a large image database. Yet, few experiments have been done to test the method on truly large databases, and even if they were performed, they would give little guidance to a user wondering if the technique would be useful with his or her database. In this paper we define and analyze a measure relevant to extending color histogram indexing to large databases: capacity (how many distinguishable histograms can be stored).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Stricker and Swain. "The Capacity of Color Histogram Indexing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323774

Markdown

[Stricker and Swain. "The Capacity of Color Histogram Indexing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/stricker1994cvpr-capacity/) doi:10.1109/CVPR.1994.323774

BibTeX

@inproceedings{stricker1994cvpr-capacity,
  title     = {{The Capacity of Color Histogram Indexing}},
  author    = {Stricker, Markus A. and Swain, Michael J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {704-708},
  doi       = {10.1109/CVPR.1994.323774},
  url       = {https://mlanthology.org/cvpr/1994/stricker1994cvpr-capacity/}
}