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We present a method for estimating the shutter angle, a.k.a. exposurefraction -- the ratio of the exposure time and the reciprocal of frame rate --of videoclips containing motion. The approach exploits the relation of theexposure fraction, optical flow, and linear motion blur. Robustness is achievedby selecting image patches where both the optical flow and blur estimates arereliable, checking their consistency. The method was evaluated on the publiclyavailable Beam-Splitter Dataset with a range of exposure fractions from 0.015to 0.36. The best achieved mean absolute error of estimates was 0.039. Wesuccessfully test the suitability of the method for a forensic application ofdetection of video tampering by frame removal or insertion.

Video shutter angle estimation using optical flow and linear blur