Classification based time-efficient, blind source camera identification for videos

A fascinating issue in a digital forensic investigation is that given a digital video, would it be conceivable to recognize the camera model which was utilized to get the video. In this paper we take a simplified form of this issue by attempting to recognize recordings caught by a predetermined number of camera models. We propose various features which could be utilized by a classifier to distinguish the source camera of a video. We likewise give exploratory results and show sensible exactness in recognizing video for three distinctive camera models utilizing the proposed features. We have additionally attempted to improvise the time complexity for feature extraction using parallel processing.