@WeirdWriter
Must do a search on how to use #FFmpeg with Linux!

@sotolf @joel

Millennial/Zoomer long-form podcast enjoyers vs. GenX Zero Attention Span dude. XD

(To be fair, I have had some audio things that were over nine hours long, but they were compilations of several sermons concatenated together (and audio-equalized) with #ffmpeg)

@christianp

Just a thought, from a knuckle-dragging biology scientist. TL;DR: I believe there is scope to make the hosting of a peertube instance even more lightweight in the future.

I read some time ago of people using #webAssembly to transcode video in a user's web-browser. https://blog.scottlogic.com/2020/11/23/ffmpeg-webassembly.html

Since then, I believe #WebGPU has done/is doing some clever things to improve the browser's access to the device's GPU.

I have not seen any #peertube capability that offloads video transcoding to the user in this way.

I imagine, though, that this would align well with peertube's agenda of lowering the bar to entry into web-video hosting, so I cannot help but think that this will come in time.

My own interest is seeing a #Piefed (activitypub) instance whose web-pages could #autotranslate posts into the user's own language using the user's own processing power... One day, maybe!

Thank you again for all your hard work; it is an inspiration.

@snacks that's because #ffmpeg was built by more people and can utilize more acceleration options (from SSE-SSE4.2) beyond vendor- & generation-proprietary code (GPU-Encoders & Decoders expect to get a native bitstream fed like hardware in dedicaded CD-/DVD-/bluray players)

• Add to that parralelization and thousands of micro-optimization from how it ingests files to transcoding to how to optimize codec settings for the best possible results and you get a better product.

Not to mention big players from Alibaba to Zoom, from Amazon to Netflix and from Apple to Sony have a vested interest in it's performance, because bandwith, storage and computational power are expensive for them.

@debby It really comes down to hardware now-a-days. Software like #Kdenlive #Krita #Flowblade #Shotcut #GMIC #Inkscape #Pencil2D #GIMP #Friction #Synfig #Glaxnimate #OBS #Blender #Handbrake #FFmpeg #Imagemagick and #Natron tend to offer some impressive options that allow users to achieve some impressive results.

While #ffmpeg can turn our "show" into a "podcast", it can’t turn our show into an enjoyable experience for our listeners.

Sorry about that.

#IanAndJaySpaceOut

https://overcast.fm/+AA2juBgB84g

@jcrabapple I had a few stumbles with #JellyFin to start (around it needing a special - but sanctioned - build of #ffmpeg on my platform), but once I figured that out it has been smooth sailing and Im quite enjoying it. Although metadata success relies on proper media curation, but #Filebot has been super helpful there and worth its one-time cost.

If only there were #xbox and #ps5 clients for it; rn i use a low power linux box for playback on my TV.

3/3 - The Making Of

I kept getting #HTTP 413 "Payload Too Large" errors on my instance - it's not actually mine-mine, i'm just a guest here - layer8.space is run by @Sammy8806. (thanks, mate )

1st, there was 1080p60 with audio
then i trimmed and rendered it out as 720p30 with audio on the Galaxy S7
on the PC, using #ffmpeg, i've removed the audio and rendered it out at 15 fps
i've cropped it to 5 seconds

ffmpeg -i src.mp4 -an -c:v libx264 -vf "fps=15" -t 5 out-15fps-noaudio-5s.mp4

Hier noch die Aufnahme von der Nachtigall.
#birdsound #birds #ffmpeg

Reference mix is on top; our mix is on bottom. These are normalized to -1 dB peak, because I am specifically evaluating the mix. (If I just wanted to compare how they sounded and which I preferred, then it would make sense to normalize to perceived loudness, the default for #ffmpeg-normalize.)

Our mix has more dynamic range, prob too much. That fits _my_ tastes, but it's not what the market prefers. You can see some limiting in the ref mix, but not excessive.

#ffmpeg nachinstalliert. Das löste das Problem unter #Windows. Hat aber auch nicht geholfen. Wahrscheinlich bleibt mir nix anderes übrig, als extra dafür nun eine VM mit Windows aufzusetzen. Wollte ich eigentlich nicht.

Leider habe ich keine Video Schnittsoftware als #Opensource gefunden, die die Features von Cuttermaran bietet.
* Schnitt auch auf B-Frame
* Geschnittene Videos werden nur kopiert. Nur die Schnittstellen werden über den #Encoder geschleust.

Any idea?