Abstract
Motion-Compensated Frame Interpolation (MCFI) is commonly used to produce the fake high-frame-rate videos, and it can be regarded as a video forgery operation from a broad sense. In this paper, we use the noise-level estimation to expose MCFI operator, and exploit the periodicity of noise-level varying to propose an effective automatic detection method. To guarantee the high detection accuracy, the high-pass filtering and the spike enhancement are both employed to extract the peak outliers in the Fourier domain. Depending on these outliers, we design the criterion of credibility value to make a final decision. The extensive experiments evaluated on hundreds of video sequences with different spatial resolutions and two parameter configurations of H.264/AVC have shown that the validity of the proposed method, which has the better detection accuracy for the MCFI method and the frame repetition.
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Notes
The uncompressed YUV sequences are coming from the public website: http://media.xiph.org/video/derf/.
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Acknowledgements
This work was supported in part by the National Natural Science Foundation of China, under Grants nos. 61501393, 61572417, 61502409 and 61471162.
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Li, R., Liu, Z., Zhang, Y. et al. Noise-level estimation based detection of motion-compensated frame interpolation in video sequences. Multimed Tools Appl 77, 663–688 (2018). https://doi.org/10.1007/s11042-016-4268-3
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DOI: https://doi.org/10.1007/s11042-016-4268-3