ML Anthology

Entropy-Based Similarity Evaluation and Visualization of Cartographic Symbol Sets

Florence Ying Wang, Masahiro Takatsuka
WACV 2015 pp. 718-725
doi:10.1109/WACV.2015.101 /wacv/2015/wang2015wacv-entropy/

Abstract

In cartographic symbology, the evaluation of a symbol set's visual similarity is an important and frequently required task. Usually, after a set of map symbols are designed, the visual similarity of symbols need to be manually examined. To fully automate this task, in this paper, we propose two approaches based on entropy calculated on SOM surface for quantifying and visualizing the visual similarities of cartographic symbol sets. Using our approaches, the visual similarities of multiple symbol sets can be compared efficiently. Apart from evaluating the visual similarities of cartographic symbol sets, both of our methods are also suitable for applications where comparing the visual similarities of multiple image datasets are required.

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Cite

Text

Wang and Takatsuka. "Entropy-Based Similarity Evaluation and Visualization of Cartographic Symbol Sets." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015. doi:10.1109/WACV.2015.101

Markdown

[Wang and Takatsuka. "Entropy-Based Similarity Evaluation and Visualization of Cartographic Symbol Sets." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015.](https://mlanthology.org/wacv/2015/wang2015wacv-entropy/) doi:10.1109/WACV.2015.101

BibTeX

@inproceedings{wang2015wacv-entropy,
  title     = {{Entropy-Based Similarity Evaluation and Visualization of Cartographic Symbol Sets}},
  author    = {Wang, Florence Ying and Takatsuka, Masahiro},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2015},
  pages     = {718-725},
  doi       = {10.1109/WACV.2015.101},
  url       = {https://mlanthology.org/wacv/2015/wang2015wacv-entropy/}
}