Pirate video identification method and system
A video recognition and video technology, applied in video data indexing, video data retrieval, character and pattern recognition, etc., can solve problems such as instability, unrecognizable bootleg video, serious exposure, etc., to improve precision and accuracy, solve Rights protection matters, the effect of improving image quality
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Embodiment 1
[0029] This embodiment provides a bootleg video identification method, such as figure 1 As shown, mainly include the following steps (step S1 to step S5):
[0030] Step S1, correcting the image of the video to be recognized;
[0031] As an optional implementation of this embodiment, such as figure 2 As shown, step S1 specifically includes:
[0032] Step S11, using the Hough transform to generate a plurality of straight lines in the image of the video to be recognized, the angle between any one of the plurality of straight lines and the straight line in the vertical direction is less than 30 degrees;
[0033] Step S12, calculating the average value of the included angles formed by multiple straight lines and straight lines in the vertical direction;
[0034] Step S13, using the average value to rotate the video image;
[0035] Step S14, adjust the image details through the loss function method, wherein the image details refer to the pixels in the image, in the fixed image...
Embodiment 2
[0085] This embodiment provides a bootleg video identification system, such as Figure 8 As shown, it mainly includes: an image correction module 60, which is used to correct the image of the video to be recognized; a position extraction module 61, which is connected to the image correction module 60, and is used to determine the screen by extracting the position area of interest in the corrected video the position; the cropping module 62 is connected with the position extraction module 61, and is used to crop the corrected video image according to the screen position; the noise reduction module 63 is connected with the cropping module 62, and is used for cropping the video image The video image is subjected to noise reduction processing; the video comparison module 64 is connected with the noise reduction module 63, and is used to compare the similarity between the video to be identified after the noise reduction processing and the genuine video, and determine the video to b...
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