Crowdsourcing-based evaluation of privacy in HDR images

Pavel Korshunov; Hiromi Nemoto; Athanassios Skodras; Touradj Ebrahimi

doi:10.1117/12.2054541

15 May 2014 Crowdsourcing-based evaluation of privacy in HDR images

Pavel Korshunov, Hiromi Nemoto, Athanassios Skodras, Touradj Ebrahimi

Proceedings Volume 9138, Optics, Photonics, and Digital Technologies for Multimedia Applications III; 913802 (2014) https://doi.org/10.1117/12.2054541
Event: SPIE Photonics Europe, 2014, Brussels, Belgium

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.

Citation Download Citation

Pavel Korshunov, Hiromi Nemoto, Athanassios Skodras, and Touradj Ebrahimi "Crowdsourcing-based evaluation of privacy in HDR images", Proc. SPIE 9138, Optics, Photonics, and Digital Technologies for Multimedia Applications III, 913802 (15 May 2014); https://doi.org/10.1117/12.2054541

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