Privacy protection of visual information is increasingly important as pervasive camera networks becomes more prevalent. The proposed scheme addresses the problem of preserving and controlling of the privacy visual data through two innovations. First, unlike the existing centralized control of privacy data, the proposed system allows individual users to make the final decision on every access to their privacy data. As such, it offers a much stronger form of privacy protection as the user no longer needs to trust, adhere or register his/her privacy preferences with a server. The second innovation is the development of a secure reversible data hiding scheme for embedding all the ownership information and privacy data into the obfuscated video bitstream. Not only has it resulted in an efficient design of protocols, the reversible data hiding allows perfect reconstruction of original data and supports arbitrary types of video obfuscation techniques. Impact of data hiding on bitrate and distortion is minimized through a rate-distortion optimization procedure and experimental results are provided to demonstrate its efficiency.
From copyright protection to error concealment, video data hiding has found usage in a great number of applications. In this work, we introduce the detailed framework of using data hiding for privacy information preservation in a video surveillance environment. To protect the privacy of individuals in a surveillance video, the images of selected individuals need to be erased, blurred, or re-rendered. Such video modifications, however, destroy the authenticity of the surveillance video. We propose a new rate-distortion-based compression-domain video data hiding algorithm for the purpose of storing that privacy information. Using this algorithm, we can safeguard the original video as we can reverse the modification process if proper authorization can be established. The proposed data hiding algorithm embeds the privacy information in optimal locations that minimize the perceptual distortion and bandwidth expansion due to the embedding of privacy data in the compressed domain. Both reversible and irreversible embedding techniques are considered within the proposed framework and extensive experiments are performed to demonstrate the effectiveness of the techniques.
From copyright protection to error concealment, video data hiding has found usage in a great number of applications. Recently proposed applications such as privacy data preservation require huge amount of information to be hidden inside a compressed video bitstream. Since data hiding disturbs the underlying statistical patterns of the source data, it adversely affects the performance of compression which are designed based on the statistical properties of the data. As such, it is imperative to design a data hiding scheme that is compatible with the compression algorithm and at the same time, introduces as little perceptual distortion as possible. In this paper, we propose a novel compression-domain video data-hiding algorithm that determines the optimal embedding strategy to minimize both the output perceptual distortion and the output bit rate. The hidden data is embedded into selective Discrete Cosine Transform (DCT) coefficients which are found in most video compression standards. The coefficients are selected based on minimizing a cost function that combines both distortion and bit rate via a usercontrolled weighting. Two methods are proposed -exhaustive search and fast Lagrangian approximation. While the former produces optimal results, the latter approach is significantly faster and amenable to real-time implementation.
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