论文标题
基于PRNU的网络摄像头和智能手机视频的源相机标识
PRNU Based Source Camera Identification for Webcam and Smartphone Videos
论文作者
论文摘要
这种通信是关于图像取证的应用，我们使用摄像头传感器指纹在网络摄像头/智能手机视频中识别源相机（SCI：源摄像头标识）。传感器或摄像头指纹基于计算由于制造不完美而导致这种传感器中始终存在的固有噪声。这是一个不可避免的特征，它将每个传感器与其噪声模式联系起来。 PRNU（照片响应不均匀性）已成为计算相机指纹的默认技术。如今，有许多应用程序处理PRNU模式，用于使用静止图像进行相机标识。在这项工作中，我们专注于视频，首先在网络摄像头视频上，然后在智能手机视频上进行。网络摄像头和智能手机是当今最常用的摄像机。在这项工作中实施和评估了SCI的三种可能的方法。
This communication is about an application of image forensics where we use camera sensor fingerprints to identify source camera (SCI: Source Camera Identification) in webcam/smartphone videos. Sensor or camera fingerprints are based on computing the intrinsic noise that is always present in this kind of sensors due to manufacturing imperfections. This is an unavoidable characteristic that links each sensor with its noise pattern. PRNU (Photo Response Non-Uniformity) has become the default technique to compute a camera fingerprint. There are many applications nowadays dealing with PRNU patterns for camera identification using still images. In this work we focus on video, first on webcam video and afterwards on smartphone video. Webcams and smartphones are the most used video cameras nowadays. Three possible methods for SCI are implemented and assessed in this work.
