论文标题
通过小波分解来保存视频的比例不变的隐私权
Scale Invariant Privacy Preserving Video via Wavelet Decomposition
论文作者
论文摘要
视频监视在现代世界中已变得无处不在。移动设备，监视摄像头和IoT设备都可以录制可能侵犯我们隐私的视频。为此，提出的解决方案是保护隐私视频，该视频可以删除该视频所产生的识别信息。已经提出了几种算法，但所有算法都遭受了规模问题的困扰：为了足够匿名近相机对象，遥远的对象变得无法识别。在本文中，我们提出了一种基于小波分解的规模不变方法。
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.
