论文标题
H4VDM：H.264视频设备匹配
H4VDM: H.264 Video Device Matching
论文作者
论文摘要
可以在许多取证任务中使用同一设备（例如，移动电话或数码相机）捕获两个给定的视频序列的方法。在本文中，我们将其称为“视频设备匹配”。在开放式视频取证方案中，比识别特定设备更容易确定是否使用相同设备捕获两个视频序列。在本文中，我们提出了一种用于开放式视频设备匹配的技术。给定两个H.264压缩视频序列，我们的方法可以确定它们是否是由同一设备捕获的，即使我们的方法从未在训练中遇到过该设备。我们将我们提出的技术表示为H.264视频设备匹配（H4VDM）。 H4VDM使用H.264从视频序列中提取的压缩信息来做出决策。它对改变摄像机传感器指纹的工件更加健壮，并且可以用于分析H.264序列的相对较小的片段。我们在由35个设备组成的公开视频取证数据集上培训和测试了我们的方法，我们提出的方法表现出良好的性能。
Methods that can determine if two given video sequences are captured by the same device (e.g., mobile telephone or digital camera) can be used in many forensics tasks. In this paper we refer to this as "video device matching". In open-set video forensics scenarios it is easier to determine if two video sequences were captured with the same device than identifying the specific device. In this paper, we propose a technique for open-set video device matching. Given two H.264 compressed video sequences, our method can determine if they are captured by the same device, even if our method has never encountered the device in training. We denote our proposed technique as H.264 Video Device Matching (H4VDM). H4VDM uses H.264 compression information extracted from video sequences to make decisions. It is more robust against artifacts that alter camera sensor fingerprints, and it can be used to analyze relatively small fragments of the H.264 sequence. We trained and tested our method on a publicly available video forensics dataset consisting of 35 devices, where our proposed method demonstrated good performance.
