Using False Colors to Protect Visual Privacy of Sensitive Content

Download

index.pdf

Date

2015-02-12

Author

Ciftci, Serdar
Korshunov, Pavel
Akyüz, Ahmet Oğuz
Ebrahimi, Touradj

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

108
views

101
downloads

Many privacy protection tools have been proposed for preserving privacy. Tools for protection of visual privacy available today lack either all or some of the important properties that are expected from such tools. Therefore, in this paper, we propose a simple yet effective method for privacy protection based on false color visualization, which maps color palette of an image into a different color palette, possibly after a compressive point transformation of the original pixel data, distorting the details of the original image. This method does not require any prior face detection or other sensitive regions detection and, hence, unlike typical privacy protection methods, it is less sensitive to inaccurate computer vision algorithms. It is also secure as the look-up tables can be encrypted, reversible as table look-ups can be inverted, flexible as it is independent of format or encoding, adjustable as the final result can be computed by interpolating the false color image with the original using different degrees of interpolation, less distracting as it does not create visually unpleasant artifacts, and selective as it preserves better semantic structure of the input. Four different color scales and four different compression functions, one which the proposed method relies, are evaluated via objective (three face recognition algorithms) and subjective (50 human subjects in an online-based study) assessments using faces from FERET public dataset. The evaluations demonstrate that DEF and RBS color scales lead to the strongest privacy protection, while compression functions add little to the strength of privacy protection. Statistical analysis also shows that recognition algorithms and human subjects perceive the proposed protection similarly

Subject Keywords

Visual Privacy Protection, False Color Visualization, Objective Evaluation, Subjective Assessment

URI

https://hdl.handle.net/11511/48699

DOI

https://doi.org/10.1117/12.2083189

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A Reliable and Reversible Image Privacy Protection Based on False Colors ÇİFTÇİ, Serdar; Akyüz, Ahmet Oğuz; Ebrahimi, Touradj (2018-01-01) Protection of visual privacy has become an indispensable component of video surveillance systems due to pervasive use of video cameras for surveillance purposes. In this paper, we propose two fully reversible privacy protection schemes implemented within the JPEG architecture. In both schemes, privacy protection is accomplished by using false colors with the first scheme being adaptable to other privacy protection filters while the second is false color-specific. Both schemes support either a lossless mode ...
Reflections on Turkish Personal Data Protection Law and Genetic Data in Focus Group Discussions Özkan, Özlem; Şahinol, Melike; Aydınoğlu, Arsev Umur; Aydın Son, Yeşim (2022-12-01) Since the 1970s and more rigorously since the 1990s, many countries have regulated data protection and privacy laws in order to ensure the safety and privacy of personal data. First, a comparison is made of different acts regarding genetic information that are in force in the EU, the USA, and China. In Turkey, changes were adopted only recently following intense debates. This study aims to explore the experts’ opinions on the regulations of the health information systems, data security, privacy, and confide...
Visual privacy protection using false colors Çiftçi, Serdar; Akyüz, Ahmet Oğuz; Department of Computer Engineering (2017) Visual privacy protection (VPP) in video surveillance is an important problem, which is likely to be even more important with the rapid expansion of video surveillance. Although many VPP algorithms exist, none of them simultaneously meets all the desired characteristics of a good privacy protection algorithm. The chief limitation of existing VPP methods is that they require regions of interest (ROI) to be automatically detected or manually marked, both of which are difﬁcult to achieve and prone to errors. I...
Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode Incebacak, Davut; Zilan, Ruken; TAVLI, BÜLENT; Barcelo-Ordinas, Jose M.; Garcia-Vidal, Jorge (2015-01-01) Contextual privacy in Wireless Sensor Networks (WSNs) is concerned with protecting contextual information such as whether, when, and where the data is collected. In this context, hiding the existence of a WSN from adversaries is a desirable feature. One way to mitigate the sensor nodes' detectability is by limiting the transmission power of the nodes (Le., the network is operating in the stealth mode) so that adversaries cannot detect the existence of the WSN unless they are within the sensing range of the ...
Object tracking for surveillance applications using thermal and visible band video data fusion Beyan, Çiğdem; Temizel, Alptekin; Department of Information Systems (2010) Individual tracking of objects in the video such as people and the luggages they carry is important for surveillance applications as it would enable deduction of higher level information and timely detection of potential threats. However, this is a challenging problem and many studies in the literature track people and the belongings as a single object. In this thesis, we propose using thermal band video data in addition to the visible band video data for tracking people and their belongings separately for ...

Citation Formats

S. Ciftci, P. Korshunov, A. O. Akyüz, and T. Ebrahimi, “Using False Colors to Protect Visual Privacy of Sensitive Content,” 2015, vol. 9394, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48699.