Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Doctored Images Using Camera Response Normality and Consistency
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Exposing digital forgeries through chromatic aberration
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Exposing digital forgeries in video by detecting duplication
Proceedings of the 9th workshop on Multimedia & security
Exposing Digital Forgeries in Interlaced and Deinterlaced Video
IEEE Transactions on Information Forensics and Security - Part 1
Detecting forgery from static-scene video based on inconsistency in noise level functions
IEEE Transactions on Information Forensics and Security
Detecting removed object from video with stationary background
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
A novel video inter-frame forgery model detection scheme based on optical flow consistency
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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The recent development of video editing techniques enables us to create realistic synthesized videos. Therefore using video data as evidence in places such as a court of law requires a method to detect forged videos. In this paper we propose an approach to detect suspicious regions in video recorded from a static scene by using noise characteristics. The image signal contains irradiance-dependent noise where the relation between irradiance and noise depends on some parameters; they include inherent parameters of a camera such as quantum efficiency and a response function, and recording parameters such as exposure and electric gain. Forged regions from another video camera taken under different conditions can be differentiated when the noise characteristics of the regions are inconsistent with the rest of the video.