Video motion compensation frame rate up-conversion evidence collection method based on noise level estimation

The invention relates to a video motion compensation frame rate up-conversion evidence collection method based on noise level estimation, which can effectively solve a video security anti-counterfeiting problem for a motion compensation frame rate up-conversion operation in the aspect of video authentication technologies. The method comprises the following steps of: firstly, calculating a Gaussian distribution standard deviation, which represents the noise level, of each frame of a to-be-authenticated video, and obtaining a standard deviation sequence; then, orderly executing Fourier transform for the standard deviation sequence to obtain a Fourier spectrum, executing high-pass filtering for the Fourier spectrum, performing significance enhancement treatment, extracting spectrum peaks, and separating out an abnormal peak set from the spectrum peaks; and finally, calculating a confidence level by the spectrum peaks and an abnormal peak subset, and setting a threshold value according to the confidence level, wh