Abstract
A growing number of users in Web 2.0 based social network sites and photo sharing portals upload millions of images per day. In many cases, this leads to serious privacy threats. The images reveal not only the personal relationships and attitudes of the user who uploads the images, but those of other persons displayed in the images as well. In this paper, we propose a system architecture for privacy-aware image sharing. Our approach is based on the ImageNotion application, which combines automated processes to create high-quality semantic image annotations.
Keywords
- Social network sites
- collaboration
- semantic image annotation
- privacy
- ImageNotion
- face detection
- face recognition
- person detection
Cite this article
@article{cai-1910,
author = {Andreas Walter and Gabor Nagypal},
title = {Extension of ImageNotion to Allow Privacy-Aware Image Sharing},
journal = {Computing and Informatics},
volume = {28},
number = {6},
pages = {747--762},
year = {2009},
issn = {1335-9150},
url = {https://cai.type.sk/content/2009/6/extension-of-imagenotion-to-allow-privacy-aware-image-sharing/}
}
TY - JOUR AU - Andreas Walter AU - Gabor Nagypal TI - Extension of ImageNotion to Allow Privacy-Aware Image Sharing JO - Computing and Informatics VL - 28 IS - 6 SP - 747 EP - 762 PY - 2009 SN - 1335-9150 UR - https://cai.type.sk/content/2009/6/extension-of-imagenotion-to-allow-privacy-aware-image-sharing/ KW - Social network sites KW - collaboration KW - semantic image annotation KW - privacy KW - ImageNotion KW - face detection KW - face recognition KW - person detection ER -
Walter, A., & Nagypal, G. (2009). Extension of ImageNotion to Allow Privacy-Aware Image Sharing. Computing and Informatics, 28(6), 747–762. https://cai.type.sk/content/2009/6/extension-of-imagenotion-to-allow-privacy-aware-image-sharing/