Earlier quoted context omitted.
okay, i don't agree with anything in your reply. segmenting a video file for HLS/DASH delivery is not at all the same thing I'm suggesting. Just for the sake of round numbers, i'm saying to take a 90 minute feature into nine 10-minute segments. fire up 10 separate instances to encode each 10-minute segment. you've just increased the encode time 10x. also, DASH/HLS does not require segmented files. you can have a sing…
Why did the encode time increase by 10x in that instance? Can't you just seek in the video to the I-frame before the cut point and start your encode there? I've never tried merging streams across computers so was naively just thinking that your output from each computer would be an MP4 but that makes sense. I pulled that info. from a Netflix talk, perhaps video cameras back from when that talk occured didn't compress…
i was thinking increased the encode speed 9x, but typed increased encode time. i also swapped the number of segments by segment duration. 9 segments of 10mins = 9x increase in performance.
Sounds like you are confusing Netflix' recommended formats for acquisition vs delivery. Cameras capture RAW formats (rarely is it uncompressed though), and the post houses use that as sources. The post house/color correction will the create the delivery formats which is typically ProRes. RAW is not a friendly format for distribution in the slightest. The full workflow from camera original to what ends up being streamed to the end viewer changes formats multiple times through the process.