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Motion-compensated frame-interpolation (MCFI) synthesizes intermediate frames between input frames guided by estimated motion and can be employed to falsify high bit-rate videos or high frame-rate videos with different frame rates. Although existing MCFI identification methods have obtained satisfactory results, they are seriously degraded by stronger compression. Therefore, to conquer this issue, a blind forensics method is proposed to identify the adopted MCFI methods by considering the irregularities of optical flow produced by various MCFIs. In this paper, a set of compact features are constructed from the motion-aligned frame difference-weighted histogram of local binary pattern on the basis of optical flow (MAFD-WHLBP). Experimental results show that the proposed approach outperforms existing MCFI detectors under stronger compression.

Identification of Interpolated Frames by Motion-Compensated Frame-Interpolation via Measuring Irregularity of Optical Flow