I have been analyzing the JSON file generated using chrome://webrtc-internal, while running webrtc on 2 PCS.
I looked at Stats API to verify how webrtc-internal computes the keyframe rate.
By looking at Stats API/ RTC Remote Inbound RTP Video Stream, it contains keyFramesDecoded which represents the total number of key frames, such as key frames in VP8, given that I set the codec to VP8.
keyFramesDecoded values are very small, i.e., 2 for a couple of minutes, and similarly for 3 and ...
My question is: How does the graph here make sense for keyFramesDecoded?
That looks right to me.
Chrome is configured to send a keyframe every 3000 frames. That means for 30fps you will see a keyframe every 100 seconds. The framesDecoded is being construct by lots of delta frames.
If you are in a unconstrained network and not dealing with lots of change in your video I would expect to see graphs like yours.
Related
as I said in the title, I need to record my screen from an electron app.
my needs are:
high quality (720p or 1080p)
minimum size
record audio + screen + mic
low impact on PC hardware while recording
no need for any wait after the recorder stopped
by minimum size I mean about 400MB on 720p and 700MB on 1080p for a 3 to 4 hours recording. we already could achieve this by bandicam and obs and it's possible
I already tried:
the simple MediaStreamRecorder API using RecordRTC.Js; produces huge file sizes, like 1GB per hour for 720p video.
compressing the output video using FFmpeg; it can take up to 1 hour for 3 hours recording
save every chunk with 'ondataavailable' event and right after, run FFmpeg and convert and reduce the size and append all the compressed files (also by FFmpeg); there are two problems. 1, because of different PTS but it can be fixed by tunning compress command args. 2, the main problem is the audio data headers are only available in the first chunk and this approach causes a video that only has audio for the first few seconds
recording the video with FFmpeg itself; the end-users need to change some things manually (Stereo Mix), the configs are too complex, it causes the whole PC to work slower while recording (like fps drop; even if I set -threads to 1), in some cases after recording is finished it needs many times to wrap it all up
searched through the internet to find applications that can be used from the command line; I couldn't find much, the famous applications like bandicam and obs have command line args but there are not many args to play with and I can't set many options which leads to other problems
I don't know what else I can do, please tell me if u know a way or simple tool that can be used through CLI to achieve this and guide me through this
I end up using the portable mode of high-level 3d-party applications like obs-studio and adding them to our final package. I also created a js file to control the application using CLI
this way I could pre-set my options (such as crf value, etc) and now our average output size for a 3:30 hour value with 1080p resolution is about 700MB which is impressive
I'm new to audio processing and dealing with data that's being streamed in real-time. What I want to do is:
listen to a built-in microphone
chunk together samples into 0.1second chunks
convert the chunk into a periodogram via the short-time Fourier transform (STFT)
apply some simple functions
convert back to time series data via the inverse STFT (ISTFT)
play back the new audio on headphones
I've been looking around for "real time spectrograms" to give me a guide on how to work with the data, but no dice. I have, however, discovered some interesting packages, including PortAudio.jl, DSP.jl and MusicProcessing.jl.
It feels like I'd need to make use of multiprocessing techniques to just store the incoming data into suitable chunks, whilst simultaneously applying some function to a previous chunk, whilst also playing another previously processed chunk. All of this feels overcomplicated, and has been putting me off from approaching this project for a while now.
Any help will be greatly appreciated, thanks.
As always start with a simple version of what you really need ... ignore for now pulling in audio from a microphone, instead write some code to synthesize a sin curve of a known frequency and use that as your input audio, or read in audio from a wav file - benefit here is its known and reproducible unlike microphone audio
this post shows how to use some of the libs you mention http://www.seaandsailor.com/audiosp_julia.html
You speak of "real time spectrogram" ... this is simply repeatedly processing a window of audio, so lets initially simplify that as well ... once you are able to read in the wav audio file then send it into a FFT call which will return back that audio curve in its frequency domain representation ... as you correctly state this freq domain data can then be sent into an inverse FFT call to give you back the original time domain audio curve
After you get above working then wrap it in a call which supplies a sliding window of audio samples to give you the "real time" benefit of being able to parse incoming audio from your microphone ... keep in mind you always use a power of 2 number of audio samples in your window of samples you feed into your FFT and IFFT calls ... lets say your window is 16384 samples ... your julia server will need to juggle multiple demands (1) pluck the next buffer of samples from your microphone feed (2) send a window of samples into your FFT and IFFT call ... be aware the number of audio samples in your sliding window will typically be wider than the size of your incoming microphone buffer - hence the notion of a sliding window ... over time add your mic buffer to the front of this window and remove same number of samples off from tail end of this window of samples
I want to built a SoundWave sampling an audio stream.
I read that a good method is to get amplitude of the audio stream and represent it with a Polygon. But, suppose we have and AudioGraph with just a DeviceInputNode and a FileOutpuNode (a simple recorder).
How can I get the amplitude from a node of the AudioGraph?
What is the best way to periodize this sampling? Is a DispatcherTimer good enough?
Any help will be appreciated.
First, everything you care about is kind of here:
uwp AudioGraph audio processing
But since you have a different starting point, I'll explain some more core things.
An AudioGraph node is already periodized for you -- it's generally how audio works. I think Win10 defaults to periods of 10ms and/or 20ms, but this can be set (theoretically) via the AudioGraphSettings.DesiredSamplesPerQuantum setting, with the AudioGraphSettings.QuantumSizeSelectionMode = QuantumSizeSelectionMode.ClosestToDesired; I believe the success of this functionality actually depends on your audio hardware and not the OS specifically. My PC can only do 480 and 960. This number is how many samples of the audio signal to accumulate per channel (mono is one channel, stereo is two channels, etc...), and this number will also set the callback timing as a by-product.
Win10 and most devices default to 48000Hz sample rate, which means they are measuring/output data that many times per second. So with my QuantumSize of 480 for every frame of audio, i am getting 48000/480 or 100 frames every second, which means i'm getting them every 10 milliseconds by default. If you set your quantum to 960 samples per frame, you would get 50 frames every second, or a frame every 20ms.
To get a callback into that frame of audio every quantum, you need to register an event into the AudioGraph.QuantumProcessed handler. You can directly reference the link above for how to do that.
So by default, a frame of data is stored in an array of 480 floats from [-1,+1]. And to get the amplitude, you just average the absolute value of this data.
This part, including handling multiple channels of audio, is explained more thoroughly in my other post.
Have fun!
I've written an MP4 parser that can read atoms in an MP4 just fine, and stitch them back together - the result is a technically valid MP4 file that Quicktime can open and such, but it can't play any audio as I believe the timing/sampling information is all off. I should probably mention I'm only interested in audio.
What I'm doing is trying to take the moov atoms/etc from an existing MP4, and then take only a subset of the mdat atom in the file to create a new, smaller MP4. In doing so I've altered the duration in the mvhd atom, as well as the duration in the mdia header. There are no tkhd atoms in this file that have edits, so I believe I don't need to alter the durations there - what am I missing?
In creating the new MP4 I'm properly sectioning the mdat block with a wide box, and keeping the 'mdat' header/size in their right places - I make sure to update the size with the new content.
Now it's entirely 110% possible I'm missing something crucial about the format, but if this is possible I'd love to get the final piece. Anybody got any input/ideas?
Code can be found at the following link:
https://gist.github.com/ryanmcgrath/958c602cff133bd7fa0b
I'm going to take a stab in the dark here and say that you're not updating your stbl offsets properly. At least I didn't (at first glance) see your python doing that anywhere.
STSC
Lets start with the location of data. Packets are written into the file in terms of chunks, and the header tells the decoder where each "block" of these chunks exists. The stsc table says how many items per chunk exist. The first chunk says where that new chunk starts. It's a little confusing, but look at my example. This is saying that you have 100 samples per chunkk, up to the 8th chunk. At the 8th chunk there are 98 samples.
STCO
That said, you also have to track where the offsets of these chunks are. That's the job of the stco table. So, where in the file is chunk offset 1, or chunk offset 2, etc.
If you modify any data in mdat you have to maintain these tables. You can't just chop mdat data out, and expect the decoder to know what to do.
As if this wasn't enough, now you have to also maintain the sample time table (stts) the sample size table (stsz) and if this was video, the sync sample table (stss).
STTS
stts says how long a sample should play for in units of the timescale. If you're doing audio the timescale is probably 44100 or 48000 (kHz).
If you've lopped off some data, now everything could potentially be out of sync. If all the values here have the exact same duration though you'd be OK.
STSZ
stsz says what size each sample is in bytes. This is important for the decoder to be able to start at a chunk, and then go through each sample by its size.
Again, if all the sample sizes are exactly the same you'd be OK. Audio tends to be pretty much the same, but video stuff varies a lot (with keyframes and whatnot)
STSS
And last but not least we have the stss table which says which frame's are keyframes. I only have experience with AAC, but every audio frame is considered a keyframe. In that case you can have one entry that describes all the packets.
In relation to your original question, the time display isn't always honored the same way in each player. The most accurate way is to sum up the durations of all the frames in the header and use that as the total time. Other players use the metadata in the track headers. I've found it best to just keep all the values the same and then players are happy.
If you're doing all that and I missed it in the script then can you post a sample mp4 and a standalone app and I can try to help you out.
Basically I'm trying to replicate YouTube's ability to begin video playback from any part of hosted movie. So if you have a 60 minute video, a user could skip straight to the 30 minute mark without streaming the first 30 minutes of video. Does anyone have an idea how YouTube accomplishes this?
Well the player opens the HTTP resource like normal. When you hit the seek bar, the player requests a different portion of the file.
It passes a header like this:
RANGE: bytes-unit = 10001\n\n
and the server serves the resource from that byte range. Depending on the codec it will need to read until it gets to a sync frame to begin playback
Video is a series of frames, played at a frame rate. That said, there are some rules about the order of what frames can be decoded.
Essentially, you have reference frames (called I-Frames) and you have modification frames (class P-Frames and B-Frames)... It is generally true that a properly configured decoder will be able to join a stream on any I-Frame (that is, start decoding), but not on P and B frames... So, when the user drags the slider, you're going to need to find the closest I frame and decode that...
This may of course be hidden under the hood of Flash for you, but that is what it will be doing...
I don't know how YouTube does it, but if you're looking to replicate the functionality, check out Annodex. It's an open standard that is based on Ogg Theora, but with an extra XML metadata stream.
Annodex allows you to have links to named sections within the video or temporal URIs to specific times in the video. Using libannodex, the server can seek to the relevant part of the video and start serving it from there.
If I were to guess, it would be some sort of selective data retrieval, like the Range header in HTTP. that might even be what they use. You can find more about it here.