Scale Invariant Privacy Preserving Video via Wavelet Decomposition

Chengkai Yu, Charles Fleming, Hai-Ning Liang

Submitted on 7 November 2022


Video surveillance has become ubiquitous in the modern world. Mobile devices, surveillance cameras, and IoT devices, all can record video that can violate our privacy. One proposed solution for this is privacy-preserving video, which removes identifying information from the video as it is produced. Several algorithms for this have been proposed, but all of them suffer from scale issues: in order to sufficiently anonymize near-camera objects, distant objects become unidentifiable. In this paper, we propose a scale-invariant method, based on wavelet decomposition.


Subjects: Computer Science - Cryptography and Security; Computer Science - Computer Vision and Pattern Recognition