Hello list!

I'm pondering a little thingy, a video sequence recognizer. I've thought about 
looking for variations in luminance and/or chrominance in the image, but come 
to the conclusion that my TV providers, at least, have none or very little 
consistency in their settings when broadcasting their stuff. One time the 
material may be murky and dark, other times slightly washed out, and other 
times still, oversaturated. I think it would be hard to recognize sequences 
under such conditions.

What, then, does not change between runs? The motion. No matter how they've 
messed up the video feed, short of mirroring it, the motion will still be the 
same.

There is a layer in MPEG that deal with motion vectors. I could throw something 
together to obtain some sort of vectors, but it would most likely be slow, and 
unnecessary work at that. Would it be hard to separate the motion vector layer 
in, say, mpeg2enc, and get (possibly fingerprintable) chunks of motion vector 
sequences from it?

/Sam

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