Kieran Kunhya
👤 SpeakerAppearances Over Time
Podcast Appearances
And so for example, on video, we don't work on RGB, right?
Everyone expects to work in RGB.
We don't, right?
We move to YUV, which is basically one is luminance, brightness, and the other are colors.
And this matches your eyes where inside your eyes, you have the cones and the buttons, right?
Some of them look on brightness and more on the other on colors, right?
So we need to compress a lot.
And so we need to degrade.
But in order to degrade, we need to match the human perception.
And this is why it's so difficult.
And then we need to use the maximum power, mathematical power, very complex technologies.
We move to the frequency domain, as Kiran said.
We do a ton of dequantizing.
And in order to get the best compression, but it still looks good.
That is correct.
And that is correct.
And this is very important, right?
Compression is not like a zip, right?
A zip, you have data in, you get data out, right?
And you try with all the zip compression to arrive with the limit.