A problem deeply investigated by multimedia forensics researchers is that of detecting which device has been used to capture a video. This enables us to trace down the owner of a video sequence, which proves extremely helpful to solve copyright infringement cases as well as to fight distribution of illicit material (e.g., child exploitation clips and terroristic threats). Currently, the most promising methods to tackle this task exploit unique noise traces left by camera sensors on acquired images. However, given the recent advancements in motion stabilization of video content, robustness of sensor pattern noise-based techniques is strongly hindered. Indeed, video stabilization introduces geometric transformations to video frames, thus making camera fingerprint estimation problematic with classical approaches. In this paper, we deal with the challenging problem of attributing stabilized videos to their recording device. Specifically, we propose: 1) a strategy to extract the characteristic fingerprint of a device, starting from either a set of images or stabilized video sequences and 2) a strategy to match a stabilized video sequence with a given fingerprint. The proposed methodology is tested on videos coming from a set of different smartphones, taken from the modern publicly available Vision Dataset. The conducted experiments also provide an interesting insight on the effect of modern smartphones video stabilization algorithms on specific video frames.

中文翻译：

---

稳定视频序列面临的设备归因问题

多媒体法医研究人员深入研究的一个问题是检测使用哪种设备捕获视频。这使我们能够找到视频序列的所有者，这对于解决侵犯版权的案件以及打击非法材料的分发（例如，剥削儿童的片段和恐怖主义威胁）极为有用。当前，解决该任务的最有前途的方法利用了相机传感器在采集的图像上留下的独特噪声轨迹。但是，鉴于视频内容的运动稳定方面的最新进展，强烈阻碍了基于传感器模式噪声的技术的鲁棒性。实际上，视频稳定化将几何变换引入了视频帧，从而使相机指纹估计在经典方法中成为问题。在本文中，我们要解决将稳定的视频分配到其录制设备这一难题。具体来说，我们提出：1）从一组图像或稳定的视频序列开始提取设备特征指纹的策略，以及2）一种将稳定的视频序列与给定指纹匹配的策略。所提议的方法已在来自一组不同智能手机的视频上进行了测试，这些视频取自现代公开可用的Vision数据集。进行的实验还提供了关于现代智能手机视频稳定算法对特定视频帧的影响的有趣见解。从一组图像或稳定的视频序列开始； 2）一种将稳定的视频序列与给定指纹匹配的策略。所提议的方法已在来自一组不同智能手机的视频上进行了测试，这些视频取自现代公开可用的Vision数据集。进行的实验还提供了关于现代智能手机视频稳定算法对特定视频帧的影响的有趣见解。从一组图像或稳定的视频序列开始； 2）一种将稳定的视频序列与给定指纹匹配的策略。所提议的方法已在来自一组不同智能手机的视频上进行了测试，这些视频取自现代公开可用的Vision数据集。进行的实验还提供了关于现代智能手机视频稳定算法对特定视频帧的影响的有趣见解。