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Effective evaluation of privacy protection techniques in visible and thermal imagery

Nawaz, T., Berg, A., Ferryman, J., Ahlberg, J. and Felsberg, M. (2017) Effective evaluation of privacy protection techniques in visible and thermal imagery. Journal of Electronic Imaging, 26 (5). 051408. ISSN 1017-9909

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To link to this item DOI: 10.1117/1.JEI.26.5.051408


Privacy protection may be defined as replacing the original content in an image region with a new (less intrusive) content having modified target appearance information to make it less recognizable by applying a privacy protection technique. Indeed the development of privacy protection techniques needs also to be complemented with an established objective evaluation method to facilitate their assessment and comparison. Generally, existing evaluation methods rely on the use of subjective judgements or assume a specific target type in image data and use target detection and recognition accuracies to assess privacy protection. This paper proposes a new annotation-free evaluation method that is neither subjective nor assumes a specific target type. It assesses two key aspects of privacy protection: protection and utility. Protection is quantified as an appearance similarity and utility is measured as a structural similarity between original and privacy-protected image regions. We performed an extensive experimentation using six challenging datasets (having 12 video sequences) including a new dataset (having six sequences) that contains visible and thermal imagery. The new dataset is made available online for community. We demonstrate effectiveness of proposed method by evaluating six image-based privacy protection techniques, and also show comparisons of proposed method over existing methods.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:71993
Publisher Statement:Copyright 2017 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.


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