MediaEval 2014 Visual Privacy Task: Geometrical Privacy Protection Tool

This paper describes EPFL privacy protection tool for the MediaEval 2014 Visual Privacy task. The goal of the task is to obscure faces, body silhouettes, and personal items of people in the provided surveillance clips to preserve their personal privacy. The EPFL privacy protection tool mainly relies on two privacy protection filters: a warping-based reversible filter to obscure features with low visual details (body silhouettes) by distorting them with randomized warping and morphing-based reversible filter to obscure features with high visual details (faces and personal items) by ‘replacing’ them with a graphical representation. The aim of this tool is to achieve an acceptable balance between privacy (how well the privacy is protected) and intelligibility (how well the surveillance task can still be performed), as well as, privacy and pleasantness (how pleasant is the protection). The results of three types of subjective evaluations, via crowdsourcing, practitioners, and stakeholders, provided by the organizers of the task demonstrates that EPFL privacy protection tool achieves a great overall balance between privacy, intelligibility, and pleasantness, while being secure and reversible in the same time.

[1]  Touradj Ebrahimi,et al.  Evaluation of visual privacy filters impact on video surveillance intelligibility , 2012, 2012 Fourth International Workshop on Quality of Multimedia Experience.

[2]  Touradj Ebrahimi,et al.  Scrambling for Privacy Protection in Video Surveillance Systems , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Atta Badii,et al.  Overview of the MediaEval 2013 Visual Privacy Task , 2013, MediaEval.

[4]  Touradj Ebrahimi,et al.  Using face morphing to protect privacy , 2013, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[5]  Touradj Ebrahimi,et al.  Using warping for privacy protection in video surveillance , 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

[6]  Touradj Ebrahimi,et al.  PEViD: privacy evaluation video dataset , 2013, Optics & Photonics - Optical Engineering + Applications.

[7]  Bernhard Rinner,et al.  TrustCAM: Security and Privacy-Protection for an Embedded Smart Camera Based on Trusted Computing , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.