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Efficient Privacy Protection in Video Surveillance by StegoScrambling

Abstract : This paper presents a near lossless reversible system which allows a user to protect privacy in video surveillance (or still images) by replacing sensitive RofIs (Regions of interest) by its edges using steganography while keeping visual quality needed for security almost in real time. Our proposed system outperforms the state-of-the-art methods by fulfilling four criteria which are near lossless Reversible, Fast Computation (integrated in real time), Usability (preserves shape and motion of people to still recognize events) and Privacy protection (no more possibility to recognize people). The effectiveness of the proposed filter has been demonstrated using some face recognition algorithms on different images.
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Contributor : Natacha Ruchaud Connect in order to contact the contributor
Submitted on : Monday, September 19, 2016 - 11:48:21 AM
Last modification on : Thursday, January 11, 2018 - 6:19:28 AM


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  • HAL Id : hal-01367540, version 1



Natacha Ruchaud, Jean Luc Dugelay. Efficient Privacy Protection in Video Surveillance by StegoScrambling. WIFS 7th IEEE International Workshop on Information Forensics and Security, Nov 2015, Rome, Italy. ⟨hal-01367540⟩



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