Privacy enabling technology for video surveillance

Dufaux, Frédéric; Ouaret, Mourad; Abdeljaoued, Yousri; Navarro, A.E.; Vergnenègre, Fabrice; Ebrahimi, Touradj

doi:10.1117/12.664945

Cited by 30 publications

(24 citation statements)

References 22 publications

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“…In [11], as well as in [10], flipping the signs of selected coefficients is proposed for "privacy enabling technology for video surveillance". This scheme may also be applied selectively in the transform domain, scrambling only parts of the image.…”

Section: Wavelet Coefficient Sign Encryptionmentioning

confidence: 99%

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A survey on JPEG2000 encryption

2009

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Image and video encryption has become a widely discussed topic; especially for the fully featured JPEG2000 compression standard numerous approaches have been proposed. A comprehensive survey of state-of-the-art JPEG2000 encryption is given. JPEG2000 encryption schemes are assessed in terms of security, runtime and compression performance and their suitability for a wide range of application scenarios.

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Section: Wavelet Coefficient Sign Encryptionmentioning

confidence: 99%

“…The signs of the wavelet coefficients are scrambled in a number of contributions [9][10][11][12][13], mainly with the goal to preserve privacy. In [11], as well as in [10], flipping the signs of selected coefficients is proposed for "privacy enabling technology for video surveillance".…”

Section: Wavelet Coefficient Sign Encryptionmentioning

confidence: 99%

A survey on JPEG2000 encryption

2009

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“…Alternatively, other approaches mask the areas of an image deemed sensitive [8], [9], [11], [19]. Similarly, the PrivacyCam architecture proposed by Senior et al [27] suppresses automatically segmented foreground objects in the scene and cryptographically secures access to the video stream(s) produced by the system.…”

Section: A Ad-hoc De-identification Algorithmsmentioning

confidence: 99%

Towards Real-World Face De-Identification

Gross

Sweeney

2007

2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems

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Abstract-A wide range of technological advances have helped to make extensive image and video acquisition close to effortless. As a consequence many applications which capture image data of people for either immediate inspection or storage and subsequent sharing have become possible. Along with these improved recording capabilities, however, come concerns about the privacy of people visible in the scene. While algorithms have been proposed to de-identify images, currently available methods are still lacking. In this paper we propose a general framework for the de-identification of images which subsumes a number of previously introduced approaches. Unlike the adhoc methods currently used in the field our algorithms aim at providing privacy guarantees. In experiments on illuminationand expression-variant face datasets we show that the proposed algorithms achieve the desired privacy protection while minimally distorting the data.

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“…A ROI transform-domain scrambling technique was presented in [7,8,9] for different image/video compression standards. The scrambling process better maintains the naturalness of the video.…”

Section: Introductionmentioning

confidence: 99%

Reversible De-Identification for lossless image compression using Reversible Watermarking

Farrugia

2014

2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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-De-Identification is a process which can be used to ensure privacy by concealing the identity of individuals captured by video surveillance systems. One important challenge is to make the obfuscation process reversible so that the original image/video can be recovered by persons in possession of the right security credentials. This work presents a novel Reversible De-Identification method that can be used in conjunction with any obfuscation process. The residual information needed to reverse the obfuscation process is compressed, authenticated, encrypted and embedded within the obfuscated image using a two-level Reversible Watermarking scheme. The proposed method ensures an overall single-pass embedding capacity of 1.25 bpp, where 99.8% of the images considered required less than 0.8 bpp while none of them required more than 1.1 bpp. Experimental results further demonstrate that the proposed method managed to recover and authenticate all images considered.

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Privacy enabling technology for video surveillance

Cited by 30 publications

References 22 publications

A survey on JPEG2000 encryption

A survey on JPEG2000 encryption

Towards Real-World Face De-Identification

Reversible De-Identification for lossless image compression using Reversible Watermarking

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