Toerless Eckert wrote:
On Tue, Nov 22, 2016 at 07:30:48PM +0000, Andy Furniss wrote:
Toerless Eckert wrote:
Well, but what i am claiming is that they where interlacing
progressive HD to create interlaced SD.
Maybe, if the master is 720p50. I don't think they would
interpolate from 720p25 to do that though.
Yepp. Checked a new recording, and the H264 HD TS from Astra is
720p50 with actual 50 frames, the mediaportal H264 mp4 file is 720p50
but actually 720p25 with duplicated frames, and the MPEG2 SD TS from
Astra is 720i50.
So the good news is that all the SD bits are full origin bits, but
that still leaves me wondering how to best deal with deinterlacing.
The threads i can find comparing different deinterlacing options are
quite inconclusive to me.
Depends what you want/need to do. Personally I wouldn't de-interlace
anything I wanted to keep, but then I wouldn't recode either - I mean
gigs are far smaller than they used to be.
If you must recode then it's possible to code h264 as mbaff - though
care is needed WRT field order so you don't end up trashing.
yadif=1 for field rate seems mostly good enough. mcdeint can be better,
but takes ages. Some of the others I find on SD that's going to get
scaled on playback, look a bit crap on diagonals.
Depending on what GPU/TV you have you could in theory get a nice
de-interlace on playback. Intels motion-adaptive vaapi looked OK when I
tested it some time ago. It's even possible, though tricky, to get some
TVs to deint for you, if they automagically deint when in an interlaced
mode.
*sigh*
I thought it might have gotten a lot easier through all the
experience collected with motion estimation. Aka: work in the
DCT domain, interpolate motion vectors and residual error - or
something like that.
AIUI encoders get it easy in comparison to interpolation. An
encoder has the ground truth for reference, so even if it can't
find good motion vectors it can correct the difference with the
residual or intra code a block.
Use ground truth from 50p recordings to create 25p reference streams
to train a neural network. Nnedi already seems to use a neural
network for deinterlacing. Would guess it's using a similar
approach.
IIRC it just scales up fields - albeit nicely.
I've never seen a paper that uses neural networks - which doesn't mean
there isn't one.
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