Quote:
Originally Posted by k0nr4d
Even then, the checksum would/could change every time the video is encoded.
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Maybe I misused the word 'checksum' in my post.
Imagine you divide a frame up into a 3x3 grid, and from each cell take an average hue, brightness, R/G/B channel saturation average, and store that information. Do that for every N frames of a video, and you'll have a unique fingerprint for each video.
When you're processing a video, you could easily make comparisons within a tolerance of X, and you've got the solution there.