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Médias (91)
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Géodiversité
9 septembre 2011, par ,
Mis à jour : Août 2018
Langue : français
Type : Texte
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USGS Real-time Earthquakes
8 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
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SWFUpload Process
6 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
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La conservation du net art au musée. Les stratégies à l’œuvre
26 mai 2011
Mis à jour : Juillet 2013
Langue : français
Type : Texte
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Podcasting Legal guide
16 mai 2011, par
Mis à jour : Mai 2011
Langue : English
Type : Texte
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Creativecommons informational flyer
16 mai 2011, par
Mis à jour : Juillet 2013
Langue : English
Type : Texte
Autres articles (103)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...) -
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.
Sur d’autres sites (13011)
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using ffmpeg-lambda on net-core
19 avril 2022, par user1765862I have a amazon lambda function which needs to use ffmpeg library.
I've found various examples on using ffmpeg lambda layer with nodejs runtime like this one
https://github.com/serverlesspub/ffmpeg-aws-lambda-layer but I would rather use .net core as runtime for my function instead of nodejs.


Any suggestions ?


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How to build a daemon to encode video files on S3 ?
4 avril 2013, par Yuval CohenI am interested in running a daemon to go over user uploaded video files and encode them in an optimal format (and add some watermarks).
I was considering services such as Zencoder, Encoding.com, Amazon's encoding service but some lack overlaying capabilities and some are just too expensive for our (big) volumes.
I want to build a daemon that encodes videos that are located on S3 once users upload them.
The solution I thought of would be Python Heroku servers using Celery for a task queue to keep track of the encoded files and ffmpeg to do the actual work. However, I ran into troubles compiling ffmpeg for Heroku (with libass support, so the basic ffmpeg bins aren't enough).
What approach/technology stack would you consider for this mini-project ?
Thanks !
Yuval -
Encoding videos locally or through a third party ?
7 septembre 2015, par JordanDevelopWe’re in the process on building a view uploading and sharing community right now and we’re currently developing with idea of using a third-party like Zencoder, but what makes Zencoder a better option ?
I’m sorry if i butcher up what is involved with supporting a local encoding system, so I’ll try to be vague. We plan on releasing with AWS, so why not setup an instance running ffmpeg ? I understand it’s a lot more then simply that, but if is it that difficult to find someone who can put together an instance for encoding ?
Am I right to assume most third party encoding services seem very unrealistic, price wise, for a web application who specifically focus on encoding large amounts of media ? I did notice Amazon offers an encoding features and would definitely feel more comfortable using them, but even that seems seems redundant.
I completely understand the cost behind encoding is very real, but I just can’t understand why third-party encoders are so widely accepted.