Content-Based Trademark Retrieval System Using Visually Salient Features
Abstract
An ever increasing number of registered trademarks has created greater demand for an automatic trademark retrieval system. We present a method for such a system based on the image content using shape features. Zernike or pseudo-Zernike moments of the image are employed as a feature set. To retrieve similar shapes, we take into account visually salient features that dominantly affect the global shape of the trademarks and ignore their minor detail. Experimental results on a database of 3,000 trademark images demonstrate that the proposed method retrieves visually similar trademarks which agree well with human perception.
Cite
Text
Kim and Kim. "Content-Based Trademark Retrieval System Using Visually Salient Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609340Markdown
[Kim and Kim. "Content-Based Trademark Retrieval System Using Visually Salient Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/kim1997cvpr-content/) doi:10.1109/CVPR.1997.609340BibTeX
@inproceedings{kim1997cvpr-content,
title = {{Content-Based Trademark Retrieval System Using Visually Salient Features}},
author = {Kim, Yong-Sung and Kim, Whoi-Yul},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {307-312},
doi = {10.1109/CVPR.1997.609340},
url = {https://mlanthology.org/cvpr/1997/kim1997cvpr-content/}
}