my suggestion nonetheless can concern uploading, if someone who uploads has a clear target about who will watch it, and here comes the HQ tablet and the notebook. those who are used to 4k dolby suites watching the most recent stuff, will not watch a DVD anyway, unless it is some "cult" content. so, there are gazillions of mp4 files of lowest quality, that we can easily beat with filesizes between 1.5G and 3G depending on what was told above.
porni has absolutely fantastic efficiency in filesize.
perhaps it is possible to create a genre of DVD transcodes that has developed some very nice subtle effects, modernizing the look, reducing some noise and halo, and make watching the content palpatable on smaller devices, like bedtime stories, you know..
it only matters, what the downloaders will like or not like. I believe that there will be audience for very organic, linear processing with a softer appeal, this will not be the kids.
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I can share another hack, coming from the original question. it is a cutting function, that does all computations.
I have no clue about the language, and I DGAF. but it works.
#read video file; some processing.. .. ..
global rff=30000./1001. # we use a global in a silly way, and spend no further thought
vv = last
pics = cut(vv, 0,20.019, 0,20.036) + cut(vv, 0,40.072, 0,40.089) # cut out two pics for front page
pics = Trim(pics,0,-2) # to make sure it works, there was trouble with buggy interpretation of the avs, after win10 update and avisynth update. not always required.
#this is a series of still pics or slide show
vintro2=cut(last,0,20.053, 0,40.056) + cut(last,0,00.000, 0,19.087) # we can cut out artwork, intro runs, menu runs, or cut out still pics from a moving menu
#this is an intro, that we need not deinterlace, or deinterlace in a different way (only to 30fps not 60 but later frame-double; or BFF/TFF conflict) so we save it away.
# here we deinterlace the whole thing
# Yadif (... ...) # we want to be cheap and fast, the denoiser in the encoder will save us...
#now we have to switch
global rff=60000./1001.
# then we can continue with the same cutting function
#but we want the pics to last half a second
tsl=int(2.0*rff/2.)+1 # duration of one pic
n=0
/*
pics = Loop(pics,tsl,n+27,n+27)
pics = Loop(pics,tsl,n+26,n+26)
pics = Loop(pics,tsl,n+25,n+25)
pics = Loop(pics,tsl,n+24,n+24)
pics = Loop(pics,tsl,n+23,n+23)
pics = Loop(pics,tsl,n+22,n+22)
pics = Loop(pics,tsl,n+21,n+21)
pics = Loop(pics,tsl,n+20,n+20)
pics = Loop(pics,tsl,n+19,n+19)
pics = Loop(pics,tsl,n+18,n+18)
pics = Loop(pics,tsl,n+17,n+17)
pics = Loop(pics,tsl,n+16,n+16)
pics = Loop(pics,tsl,n+15,n+15)
pics = Loop(pics,tsl,n+14,n+14)
pics = Loop(pics,tsl,n+13,n+13)
pics = Loop(pics,tsl,n+12,n+12)
pics = Loop(pics,tsl,n+11,n+11)
pics = Loop(pics,tsl,n+10,n+10)
pics = Loop(pics,tsl,n+9,n+9)
pics = Loop(pics,tsl,n+8,n+8)
pics = Loop(pics,tsl,n+7,n+7)
pics = Loop(pics,tsl,n+6,n+6)
pics = Loop(pics,tsl,n+5,n+5)
pics = Loop(pics,tsl,n+4,n+4)
pics = Loop(pics,tsl,n+3,n+3)
pics = Loop(pics,tsl,n+2,n+2) */
pics = Loop(pics,tsl,n+1,n+1)
pics = Loop(pics,tsl,n+0,n+0)
# here we simply set the end-of-comment, beginning at the bottom for zero, according to the number of pics that we have.
#this time we can cut out regular segments to our likening, which is what happened at the beginning of the thread.
vintro=cut(last,0,00.000, 1,06.582)
# and 10 more segments if needed for resizing and cutting differently
vmain=cut(last,0,40.106, 80,00.000) # the end of the main video need not be exact.
# at some point we have to join the stuff and add the segments.
# treat vintro2 here, but we would not invest the time very often, to figure that out, just omit the segments
vintro2 = Yadif(vintro2, mode=0,order=1)
vintro2 = ChangeFPS(vintro2,60000,1001)
last = pics + vintro +vintro2 + vmain # whatever
#further processing, like convolution and chroma shifting
# .... .... ....
CShft(last,-0.3,-1.0)
#-- let it trample into end of file
#-------------------- just add the helper functions in every copy, or do an include ----
function CShft(clip In, float X, float Y) {
w = In.Width()
h = In.Height()
Tmp = In.BlackmanResize(w, h, -X, -Y, w-X, h-Y, 5)
# -- you might try different filtering functions because sometimes the color bleed becomes worse.
# -- you can be diligent, scrap the shift, and figure out the exact chroma position and enter it in the conversion functions, if there are any.
In = MergeChroma(In, Tmp)
return In}
function cut(clip In, int Mins, float secs, int Mins2, float secs2) {
# parameters = clip, start_minutes, seconds.milliseconds, end_minutes, seconds.milliseconds
tpos = 60.*Mins + secs
te = 60.*Mins2 + secs2
Outclp=Trim(In, int(rff*tpos)+1, -int(rff*(te-tpos))-1)
return Outclp}
# there is a delivery issue with dgdecode, therefor if the pic to extract is within the first few frames, we change the "+1" seen above into "+0" as a place holder. it might be different every time.
