Human Perceptions of Sensitive Content in Photos
Abstract
Before we can obfuscate portions of an image to enhance privacy, we must know what portions are considered sensitive. In this paper, we report results from a study aimed at identifying sensitive content in photos from a human-centered perspective. We collected sensitive photos and/or descriptions of sensitive photos from participants and asked them to identify which elements of the photo made each photo sensitive. Using this information, we propose an initial two-level taxonomy of sensitive content categories. This taxonomy may be useful to privacy researchers, online social network designers, policy makers, computer vision researchers and anyone wishing to identify potentially sensitive content in photos. We conclude by providing insights about how these results may be used to enhance computer vision approaches to protecting image privacy.
Cite
Text
Li et al. "Human Perceptions of Sensitive Content in Photos." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018. doi:10.1109/CVPRW.2018.00209Markdown
[Li et al. "Human Perceptions of Sensitive Content in Photos." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018.](https://mlanthology.org/cvprw/2018/li2018cvprw-human/) doi:10.1109/CVPRW.2018.00209BibTeX
@inproceedings{li2018cvprw-human,
title = {{Human Perceptions of Sensitive Content in Photos}},
author = {Li, Yifang and Troutman, Wyatt and Knijnenburg, Bart P. and Caine, Kelly},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2018},
pages = {1590-1596},
doi = {10.1109/CVPRW.2018.00209},
url = {https://mlanthology.org/cvprw/2018/li2018cvprw-human/}
}