Exploiting rolling shutter for ENF signal extraction from video
Exploiting rolling shutter for ENF signal extraction from video
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利用滚动快门从视频中提取 ENF 信号
DOI：
10.1109/icip.2014.7026086
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Min Wu
中科院分区：
文献类型：
--
作者：
Hui Su;Adi Hajj;Ravi Garg;Min Wu
电网络频率（ENF）信号可以嵌入在电活动区域中创建的多媒体记录中。最近的工作已经将ENF信号用于诸如时间戳认证和伪造检测的应用。由于摄像机的低时间采样率或帧速率，从视频记录中提取ENF信号比从音频记录中提取ENF信号更具挑战性。CMOS图像传感器的滚动快门可以被利用，因为它逐行曝光帧，并且通过将每条线视为信号样本可以增加有效ENF采样率。该方案被证明可以很好地处理静态视频。本文对利用卷帘快门从视频中提取ENF轨迹进行了进一步的研究。利用多速率信号处理理论对卷帘快门机构进行了建模和分析。研究了运动视频的嵌入情况，并探讨了从中提取ENF的解决方案。
The electric network frequency (ENF) signal can be embedded in multimedia recordings created in areas of electrical activities. Recent work has used the ENF signal for such applications as time stamp authentication and forgery detection. It is more challenging to extract ENF signals from video recordings than from audio recordings because of the low temporal sampling rate or frame rate of video cameras. The rolling shutter of CMOS image sensor can be exploited as it exposes a frame line by line, and the effective ENF sampling rate by treating each line as a signal sample can be increased. This scheme was shown to work well with static videos. This paper conducts a further study on the exploitation of the rolling shutter for extracting ENF traces from videos. The rolling shutter mechanism is modeled and analyzed using multirate signal processing theory. Challenging cases of videos with motions are examined, and solutions to extracting ENF from them are explored.