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One method for lossy video compression is to take two frames that are duplicates or near duplicates and merge them, saving only one frame. For example if a person is talking in front of a wall, there's no need to save every single frame of that wall. You can take one picture of it and just use that until
the lighting changes substantially or the camera moves. That's all well and good.
But for humans some parts of an image are much more important than others. A person's eyes may be in nearly the exact same position, but a couple of millimeters of movement there is important to communication. You can tell whether someone is looking at your eyes or at your nose from across the room.
Modern compression algorithms tend to throw out the baby with the bathwater. They'll happily compress the wall with the same vigor as the unmoving sword in a swordfight. A tiny twitch of the sword is important, but a slight shadow on the wall is not.
So the idea is to add to video compression a recognition of the most important parts of a video. All human or animal movements are important no matter how small. But set pieces are much less so. Face recognition is already done by cameras for the purpose of focus and so forth. This video compression library would add thousands of probably-important general shapes to mark for less lossy compression, allowing higher effective fidelity at lower file sizes.
https://en.wikipedi...Jeremy_Hillary_Boob
[pertinax, Dec 22 2020]
[link]
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I was told there would be boobs. |
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Among other shapes, yes. It's not just eyes and swords one wants not to be obscured. |
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Who cares about swords or eyes |
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//A tiny twitch of the sword is important, but a slight
shadow on the wall is not.// |
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I'm not sure I like this anti-wall agenda. As a wall
enthusiast, I'm often dismayed when compressed videos
remove the complex surface structure and subtle lighting
variations of a really first-rate wall by displaying it as a
handful of massive pixels. I mean, people have only been
waving swords around for a few thousand years, walls go
back much further. No swords at Gobekli tepe, walls
galore though. What's a pyramid if not a complex 3D
supporting structure for internal passageways and
rooms?..
a big pointy wall. |
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From the title, we thought this might be some sort of thin, close fitting, elasticated garment for females, or a rather tawdry exploitative video employing such garments. |
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I would think that sword enthusiasts might be as interested in the minute fluctuations of light and shadow playing across the wall - they might even give a more nuanced sense of the sword's movement than the straight on view of the sword. |
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Toaster, You turned left instead of right...you want the Half-
boobery. It's down the hall...waaaay down! |
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One thing about this Human Salient Compression (HSC) [Voice] came up with is that it really has varied commercial applicability. I think I figured out how to do it technologically (too long for here) and noticed that if Disney compresses their entire 100,000 movie/show back catalog that is like 5% of Netflix compressing their entire back catalog. So Disney gets to go "all high quality look" on everything for 20 times less money. |
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Youtube: sadly, no originals to recompress. (?) |
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Porn: Easy to recompress sort of uninspiring mass produced porn, but originals on great amateur stuff are not around to recompress. |
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Aside: If you can compress on salience, you've identified salience, and can turn salience up. That spices the videos. Unknown if it makes them better, it does make people's brains react to them more. |
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One way to do this would be to use eye-tracking devices on all the
people watching a test screening of this movie. This would record
the precise parts of the image in each scene to which people gave
most attention. Then, the compression algorithm would use this
data, applying heavy compression to those parts of the scene to
which people gave little attention, and very light compression to the
bits which people were looking at (which are presumably those
elements most relevant to the plot, like the sword you mention). |
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//I was told there would be boobs// |
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Well, if you include people bearing some passing resemblance
to Jeremy Hillary Boob, Ph.D., there are. |
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