VEIL: A System for Certifying Video Provenance

Ashish Gehani, U. Lindqvist
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引用次数: 14

Abstract

Traditionally, a consumer decided how much to trust a piece of data based on its source. As digital video cameras and editors become ubiquitous, an arbitrary video object is increasingly likely to be produced using a range of operations that combine clips from a multitude of sources. A consumer can determine the assurance level of the data by knowing its lineage. We describe a system to embed the provenance of the video into the data itself. As long as the video contains a predefined threshold of data (from the spatial and temporal domains), the entire lineage can be ascertained. We embed the metadata using subpixel linear interpolation between similar blocks in proximal frames. It can then be extracted in real time using a novel method for computing the embedded interpolation. We implemented the process in C and report the performance overhead it introduces for playing video files. We also characterize the tradeoff between the auxiliary channel's capacity (which limits the amount of provenance metadata that can be embedded) and the extent to which the video can be edited (in the spatial or temporal domains) while retaining complete lineage.
VEIL:视频来源认证系统
传统上,消费者根据数据的来源来决定对数据的信任程度。随着数码摄像机和编辑器变得无处不在,一个任意的视频对象越来越有可能是通过一系列的操作来制作的,这些操作结合了来自众多来源的剪辑。消费者可以通过了解数据的沿袭来确定数据的保证级别。我们描述了一个将视频的来源嵌入到数据本身的系统。只要视频包含预定义的数据阈值(来自空间和时间域),就可以确定整个谱系。我们在近端帧的相似块之间使用亚像素线性插值嵌入元数据。然后利用一种计算嵌入插值的新方法实时提取它。我们用C语言实现了这个过程,并报告了它在播放视频文件时带来的性能开销。我们还描述了辅助信道的容量(它限制了可以嵌入的来源元数据的数量)和视频可以编辑的程度(在空间或时间域)之间的权衡,同时保留完整的血统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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