论文标题
修改的傅里叶蛋白方法，用于稳定视频的源设备识别
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos
论文作者
论文摘要
为了确定是否已通过给定设备捕获数字视频，多媒体法医工具通常会利用相机传感器在获得的帧上留下的特征噪声痕迹。该分析要求表征相机的噪声模式以及从分析中提取的视频帧提取的噪声模式是几何对齐的。但是，在许多实际情况下，这不会发生，因此必须进行重新调整或同步。当前的解决方案通常需要耗时搜索重新调整转换参数。在本文中，我们建议通过搜索频域中的缩放和旋转参数来克服此限制。在来自著名的最先进数据集的真实视频中测试的拟议算法显示出令人鼓舞的结果。
To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquired frames. This analysis requires that the noise pattern characterizing the camera and the noise pattern extracted from video frames under analysis are geometrically aligned. However, in many practical scenarios this does not occur, thus a re-alignment or synchronization has to be performed. Current solutions often require time consuming search of the realignment transformation parameters. In this paper, we propose to overcome this limitation by searching scaling and rotation parameters in the frequency domain. The proposed algorithm tested on real videos from a well-known state-of-the-art dataset shows promising results.
