ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
April 26, 2019 Β· Declared Dead Β· π 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Authors
Tu Bui, Daniel Cooper, John Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown
arXiv ID
1904.12059
Category
cs.CV: Computer Vision
Cross-listed
cs.AI,
cs.CR,
cs.DC
Citations
22
Venue
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Last Checked
4 months ago
Abstract
We present ARCHANGEL; a novel distributed ledger based system for assuring the long-term integrity of digital video archives. First, we describe a novel deep network architecture for computing compact temporal content hashes (TCHs) from audio-visual streams with durations of minutes or hours. Our TCHs are sensitive to accidental or malicious content modification (tampering) but invariant to the codec used to encode the video. This is necessary due to the curatorial requirement for archives to format shift video over time to ensure future accessibility. Second, we describe how the TCHs (and the models used to derive them) are secured via a proof-of-authority blockchain distributed across multiple independent archives. We report on the efficacy of ARCHANGEL within the context of a trial deployment in which the national government archives of the United Kingdom, Estonia and Norway participated.
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