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Autres articles (41)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP 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" (...)

  • Other interesting software

    13 avril 2011, par

    We don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
    The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
    We don’t know them, we didn’t try them, but you can take a peek.
    Videopress
    Website : http://videopress.com/
    License : GNU/GPL v2
    Source code : (...)

Sur d’autres sites (6184)

  • Best practices for developing scalable video transcoding server on Amazon Web Services ? [closed]

    5 février, par undefined

    What do people think are the most important issues when developing an application that is going to allow users to upload video and images to a server and have them transcoded by FFMPEG and stored in amazon S3 ? I have a couple of options ;

    


      

    1. install FFMPEG on the same server that handles file uploads, when a video is uploaded and stored on EC2 instance, call FFMPEG to convert it then when done, write the file to S3 bucket and dispose of the original.
    2. 


    


    How scalable is this ? What happens when many users upload at the same time ? How do I manage multiple processes at once ? How do I know when to start another instance and load balance this configuration ?

    


      

    1. Have one server for processing uploads (updating database, renaming files etc) and one server for doing transcoding. Again what is the best way to manage multiple processes ? should I be looking at Amazon SQS for this ? Can I tell the transcoding server to get the file from the upload server or should I copy the file to the transcoding server ? Should I just store all files on S3 and SQS can read from there. I am trying to have as little traffic as possible.
    2. 


    


    I am running a linux box as the upload server and have FFMPEG running on this.

    


  • Amazon Elastic Transcoder vs FFMPEG [closed]

    7 juillet 2017, par KiranD

    I’m developing a website (php based) and there is a provision to upload videos in different formats. I’m using HTML5 player for the front end presentation. So, as the ideal format that is supported by most of the browsers is mp4, I tried using ffmpeg and it works fine.

    I would like to know which transcoder (Amazon Elastic Transcoder or FFMPEG) would be best for handling conversions parallely when there is a huge traffic.

    There could me approximately thousands of users watching the videos and may be hundreds uploading the videos at the same time. I’m using Amazon EC2 for deployment and the traffic is mostly spiky (not flat).

    I’m not sure about the acceptable speed. But, I need the one which can transcode the videos much faster.

  • What is the right command to convert an mp3 file to the required codec version (MPEG version 2) and bit rate (48 kbps) for Amazon Alexa SSML ?

    1er février 2019, par Asimov4

    I am trying to convert an mp3 file to the format expected by the audio tag in the Amazon Alexa SSML markup language as described here : https://developer.amazon.com/public/solutions/alexa/alexa-skills-kit/docs/speech-synthesis-markup-language-ssml-reference

    The documentation recommends using https://www.ffmpeg.org/ffmpeg.html

    I tried this command but can’t find the right codec to use :
    ffmpeg -y -i input.mp3 -ar 44100 -ab 48k -codec:a mpeg2 -ac 1 output.mp3

    I know I need to convert the file because Alexa fails with the following error : The audio is not of a supported MPEG version