2014
Korshunov, Pavel; Nemoto, Hiromi; Skodras, Athanassios; Ebrahimi, Touradj
Crowdsourcing-based evaluation of privacy in HDR images Proceedings Article
In: Schelkens, Peter; Ebrahimi, Touradj; Cristóbal, Gabriel; Truchetet, Frédéric; Saarikko, Pasi (Ed.): Optics, Photonics, and Digital Technologies for Multimedia Applications III, pp. 1 – 11, International Society for Optics and Photonics SPIE, 2014.
Abstract | Links | BibTeX | Tags: crowdsourcing, evaluation, HDR imaging, privacy protection
@inproceedings{Korshunov2014,
title = {Crowdsourcing-based evaluation of privacy in HDR images},
author = {Pavel Korshunov and Hiromi Nemoto and Athanassios Skodras and Touradj Ebrahimi},
editor = {Peter Schelkens and Touradj Ebrahimi and Gabriel Cristóbal and Frédéric Truchetet and Pasi Saarikko},
url = {https://doi.org/10.1117/12.2054541},
doi = {10.1117/12.2054541},
year = {2014},
date = {2014-01-01},
booktitle = {Optics, Photonics, and Digital Technologies for Multimedia Applications III},
volume = {9138},
pages = {1 -- 11},
publisher = {SPIE},
organization = {International Society for Optics and Photonics},
abstract = {The ability of High Dynamic Range imaging (HDRi) to capture details in high-contrast environments, making both dark and bright regions clearly visible, has a strong implication on privacy. However, the extent to which HDRi affects privacy when it is used instead of typical Standard Dynamic Range imaging (SDRi) is not yet clear. In this paper, we investigate the effect of HDRi on privacy via crowdsourcing evaluation using the Microworkers platform. Due to the lack of HDRi standard privacy evaluation dataset, we have created such dataset containing people of varying gender, race, and age, shot indoor and outdoor and under large range of lighting conditions. We evaluate the tone-mapped versions of these images, obtained by several representative tone-mapping algorithms, using subjective privacy evaluation methodology. Evaluation was performed using crowdsourcing-based framework, because it is a popular and effective alternative to traditional lab-based assessment. The results of the experiments demonstrate a significant loss of privacy when even tone-mapped versions of HDR images are used compared to typical SDR images shot with a standard exposure.},
keywords = {crowdsourcing, evaluation, HDR imaging, privacy protection},
pubstate = {published},
tppubtype = {inproceedings}
}
The ability of High Dynamic Range imaging (HDRi) to capture details in high-contrast environments, making both dark and bright regions clearly visible, has a strong implication on privacy. However, the extent to which HDRi affects privacy when it is used instead of typical Standard Dynamic Range imaging (SDRi) is not yet clear. In this paper, we investigate the effect of HDRi on privacy via crowdsourcing evaluation using the Microworkers platform. Due to the lack of HDRi standard privacy evaluation dataset, we have created such dataset containing people of varying gender, race, and age, shot indoor and outdoor and under large range of lighting conditions. We evaluate the tone-mapped versions of these images, obtained by several representative tone-mapping algorithms, using subjective privacy evaluation methodology. Evaluation was performed using crowdsourcing-based framework, because it is a popular and effective alternative to traditional lab-based assessment. The results of the experiments demonstrate a significant loss of privacy when even tone-mapped versions of HDR images are used compared to typical SDR images shot with a standard exposure.