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基于YouTube的视频源鉴别
引用本文:亚尼克·斯凯林,尤·范德列里,芝诺·胡拉茨,马塞尔·瓦林,卢启萌. 基于YouTube的视频源鉴别[J]. 中国司法鉴定, 2012, 0(5): 19-39
作者姓名:亚尼克·斯凯林  尤·范德列里  芝诺·胡拉茨  马塞尔·瓦林  卢启萌
作者单位:阿姆斯特丹大学系统和网络工程,荷兰海牙
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Luká(s)等[1]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.

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

Camera Identification on YouTube
Yannick Scheelen,Jop van,der Lelie,Zeno Geradts,Marcel Worring. Camera Identification on YouTube[J]. Chinese Journal of Forensic Sciences, 2012, 0(5): 19-39
Authors:Yannick Scheelen  Jop van  der Lelie  Zeno Geradts  Marcel Worring
Affiliation:Yannick Scheelen,Jop van der Lelie,Zeno Geradts,Marcel Worring(System and Network Engineering,University of Amsterdam,Haque,The Netherlands)
Abstract: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.
Keywords:vphoto response non-uniformity  original camera  re-encode  wavelet filter
本文献已被 CNKI 维普 万方数据 等数据库收录!
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