Abstract
The recent advent in the multimedia tools and their wide availability lead to a critical issue of protecting the privacy of multimedia content in cyber-physical security of industrial set-ups predominantly in surveillance. This paper emphasizes on preserving the authenticity of multimedia content in industrial surveillance by presenting an efficient hashing technique based on normalization, log-polar mapping and singular value decomposition. The core idea is to produce a hash sequence from the key-frames extracted from industrial surveillance video providing better robustness and security. For this purpose, the input key-frame is first normalized to make it resilient against the affine distortions. Log-polar mapping is then applied on the normalized key-frame, and an initial hash sequence is generated using the properties of singular value decomposition. At last, a randomization process is applied to construct the final hash sequence. Extensive experiments on various key-frames are conducted to demonstrate the robustness of the proposed framework against various intentional/unintentional distortions.
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Singh, S.P., Bhatnagar, G. Robust and efficient hashing framework for industrial surveillance. J Ambient Intell Human Comput 14, 4757–4769 (2023). https://doi.org/10.1007/s12652-022-04408-5
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DOI: https://doi.org/10.1007/s12652-022-04408-5