Image Retrieval and Segmentation Based on Color Invariants
Abstract
We will demonstrate our CVPR2000 paper "Measurement of Color Invariants" for the cases of image retrieval based on query by example and for color image segmentation. Both are of importance in content based access of image and video data. We demonstrate the usefulness of the proposed color invariants in image retrieval by example systems. We show that an image retrieval query should include the type of invariance expected in the result. We demonstrate such queries by using the "ImageSurf" retrieval system. Segmentation of images based on the proposed color invariants is demonstrated by the "PicToVision" system. The system provides image processing functionality through the world wide web, and is publicly accessible at www.science. uva.nl/research/isis.pictovision.html.
Cite
Text
Geusebroek et al. "Image Retrieval and Segmentation Based on Color Invariants." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854957Markdown
[Geusebroek et al. "Image Retrieval and Segmentation Based on Color Invariants." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/geusebroek2000cvpr-image/) doi:10.1109/CVPR.2000.854957BibTeX
@inproceedings{geusebroek2000cvpr-image,
title = {{Image Retrieval and Segmentation Based on Color Invariants}},
author = {Geusebroek, Jan-Mark and Koelma, Dennis C. and Smeulders, Arnold W. M. and Gevers, Theo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {2784-2785},
doi = {10.1109/CVPR.2000.854957},
url = {https://mlanthology.org/cvpr/2000/geusebroek2000cvpr-image/}
}