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Médias (91)
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Spitfire Parade - Crisis
15 mai 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Wired NextMusic
14 mai 2011, par
Mis à jour : Février 2012
Langue : English
Type : Video
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Video d’abeille en portrait
14 mai 2011, par
Mis à jour : Février 2012
Langue : français
Type : Video
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Sintel MP4 Surround 5.1 Full
13 mai 2011, par
Mis à jour : Février 2012
Langue : English
Type : Video
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Carte de Schillerkiez
13 mai 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Texte
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Publier une image simplement
13 avril 2011, par ,
Mis à jour : Février 2012
Langue : français
Type : Video
Autres articles (40)
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Contribute to a better visual interface
13 avril 2011MediaSPIP is based on a system of themes and templates. Templates define the placement of information on the page, and can be adapted to a wide range of uses. Themes define the overall graphic appearance of the site.
Anyone can submit a new graphic theme or template and make it available to the MediaSPIP community. -
Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
Use, discuss, criticize
13 avril 2011, parTalk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
A discussion list is available for all exchanges between users.
Sur d’autres sites (4458)
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Adaptive nmls filters matlab python [closed]
1er juin 2012, par user1314738I am interested in removing noise in audio from mike for reatime audio streaming using ffmpeg.
As I get some background noise while I pass the recorded stream I am interested in removing this noise before I encode the stream the stream.
There are few issues :-
1.as i need to this in real time for audio streaming I cannot use Matlab TOOLBOX filters !
so please suggest other audio processing platforms I can use for the purpose.
If that is in python it would be really good.2.through ffmpeg I can link the alsa sound card using :-
$ ffmpeg -i hw:0:0 -acodec............... rtp//255:130:40 and stream on rtp.
but when I will be filtering the sound from mic before it is being used by the ffmpeg, i am bit confused about the syntax for the input to the ffmpeg encoder for rtp streaming.
would it be fine to use some sort of pipe-lined buffer in between ?But the issue of real time stream and time sync between streaming and filtering still haunts.
Please help me out in selecting right platform for filtering the audio stream and it's integration with ffmpeg encoder for real time streaming.
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GStreamer H264 stream to HTML5 webpage
28 septembre 2020, par LostInTheEchoI have a Linux board with a camera connected to it that is recording whatever goes on to a mp4 file(s) on the SD card of the board. I'm using gstreamer which connects to the /dev/video1 source and uses H264 encoding. I run it with a command similar to this one :


gst-launch-1.0 v4l2src device=/dev/video1 ! video/x-h264,width=640,height=480,framerate=30/1 ! h264parse ! rtph264pay ! udpsink host={host} port={port}



The upper part works fine and records everything locally, but I'd also like to stream this video to a HTML5 webpage, which is meant to change camera options and have a live preview.


I tried using HTTP via tcpsink and HLS via hlssink, but both resulted in a 8-10 second delay, which is basically unusable. The only thing that has no delay is the UDP sink. As far as I know the only way to catch the UDP stream is by having a tool like FFMPEG in the middle, that can convert the UDP stream to MJPEG for instance and serve it to the webpage.


That would probably work, but the board doesn't have a very good CPU and is already at 50% utilization. Converting stream via FFMPEG would probably push it to 100%.


Is there any other way to stream to a webpage without delay ?


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FFmpeg4 android Applying Overlay (watermark) taking too long
13 janvier 2019, par Web DeveloperI’m using ffmpeg4 on android (Java) to apply overlay/watermark on the bottom left corner of the recorded video that is saved in the SD CARD.
The video recording has maximum duration of 59 seconds. The problem that I’m facing is that I’m applying water through this command of ffmpeg4
String[] complexCommand1 = new String[]"ffmpeg", "-y", "-i",
"input.mp4", "-strict", "experimental", "-c:v", "libx264", "-preset",
"ultrafast", "-vf", "movie=/water.png [watermark] ; [in][watermark] overlay=main_w-overlay_w-", "10:10", " [out]", "-s", "320x480", "-aspect",
"2:3", "-r", "30", "-b:v", "500k",
"output.mp4" ;I’ve reduced the video resolution to 320x480 after the conversion and 480p to recorded video that is provided as input to this command but still the processing time is around 40 seconds.
Can someone provide me workaround this to reduce this processing time.
or what should I do to reduce this processing time. I’ve researched a lot on this and found some GitHub issues link and tried their solutions but none of them seemed to work for me.