基于YouTube的视频源鉴别  

Camera Identification on YouTube

作　　者： 尤·范德列里 芝诺·胡拉茨 马塞尔·瓦林 卢启萌(译) 施少培(校) 

机构地区：阿姆斯特丹大学系统和网络工程,荷兰海牙

出　　处：《中国司法鉴定》2012年第5期31-39,共9页Chinese Journal of Forensic Sciences

摘　　要：在一定条件下，传感器的光电响应非均匀（PRNU）特性能够作为拍摄器材的特异性指标。用于视频图像的来源鉴别。本文利用Lukas等定义的小波滤波器提取经过AVC方式重新编码的视频文件中的光电响应非均匀特性模式．研究调节分辨率和编码参数对拍摄器材的光电响应非均匀性模式的影响，发现部分经过重新编码的视频仍能够通过光电响应非均匀特性进行拍摄器材的鉴别。Identifying the camera with which a video has been taken can under the right circumstances be done using the Photo Response Non-Uniformity （PRNU）, which acts as. a unique fingerprint for cameras. In this paper we use the wavelet filter from Lukas et al[1] to extract the PRNU pattern from a video file that is re-encoded using the Advanced Video Codec. Different video resolutions and encoding settings were used to investigate the influence of this re-encode on the PRNU pattern. It is shown that even after a video is re-encoded it is still possible to link some videos to their original camera.

关 键 词：光电响应非均匀特性模式 视频来源 重新编码 小波滤波器 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]