Detecting Video Forgeries Based on Noise Characteristics

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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.