Current fast scene detection in rav1e relatively slow to compared methods of scene detection, and have proclivity to show false results or don't detect scene changes where they appear
This pr reworks fast scene detection algorithm, making it faster, better, and more accurate
Achieved goals are:
- Faster decision making ( Both less and more efficient computations )
- More accurate scene detection, by adjusting threshold based on previous frames
- Frame downscale for faster decisions.
Example of adaptive threshold not cutting high motion segment which default static threshold method would cut
? [SC-Detect] Frame 519: T=25.0 P=9.5 No cut
? [SC-Detect] Frame 520: T=25.0 P=10.2 No cut
? [SC-Detect] Frame 521: T=25.0 P=17.2 No cut
? [SC-Detect] P: 29.0 [0.0, 1.8, 9.5, 10.2, 17.2] Cut: false
? [SC-Detect] Frame 522: T=25.0 P=29.0 No cut
? [SC-Detect] P: 33.6 [1.8, 9.5, 10.2, 17.2, 29.0] Cut: false
? [SC-Detect] Frame 523: T=25.0 P=33.6 No cut
? [SC-Detect] P: 34.0 [9.5, 10.2, 17.2, 29.0, 33.6] Cut: false
? [SC-Detect] Frame 524: T=25.0 P=34.0 No cut
? [SC-Detect] P: 26.4 [10.2, 17.2, 29.0, 33.6, 34.0] Cut: false
? [SC-Detect] Frame 525: T=25.0 P=26.4 No cut
? [SC-Detect] Frame 526: T=25.0 P=22.8 No cut
? [SC-Detect] Frame 527: T=25.0 P=15.2 No cut
? [SC-Detect] Frame 528: T=25.0 P=0.4 No cut
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