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• W2808982453 abstract "We show how to build the components of a privacy-aware, live video analytics ecosystem from the bottom up, starting with OpenFace, our new open-source face recognition system that approaches state-of-the-art accuracy. Integrating OpenFace with interframe tracking, we build RTFace, a mechanism for denaturing video streams that selectively blurs faces according to specified policies at full frame rates. This enables privacy management for live video analytics while providing a secure approach for handling retrospective policy exceptions. Finally, we present a scalable, privacy-aware architecture for large camera networks using RTFace and show how it can be an enabler for a vibrant ecosystem and marketplace of privacy-aware video streams and analytics services." @default.
• W2808982453 created "2018-06-29" @default.
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• W2808982453 date "2018-06-15" @default.
• W2808982453 modified "2023-09-23" @default.
• W2808982453 title "Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework" @default.
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• W2808982453 doi "https://doi.org/10.1145/3209659" @default.
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