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Autres articles (42)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

  • Contribute to translation

    13 avril 2011

    You can help us to improve the language used in the software interface to make MediaSPIP more accessible and user-friendly. You can also translate the interface into any language that allows it to spread to new linguistic communities.
    To do this, we use the translation interface of SPIP where the all the language modules of MediaSPIP are available. Just subscribe to the mailing list and request further informantion on translation.
    MediaSPIP is currently available in French and English (...)

Sur d’autres sites (8960)

  • How to send ffmpeg based HTTP stream to CloudFront [on hold]

    5 octobre 2017, par Tarun Maheshwari

    I have a live streaming server, where media is available as HTTP / RTMP / HLS format.
    I am able to access it and play from my desktop using following links.

     rtmp://52.xx.xx.192/live/tarun1 (RTMP)
    
 http://52.xx.xx.192:8080/hls/movie.m3u8 (HLS)
    
 http://52.xx.xx.190:7090/stream (HTTP)

    I want to forward any of the above streams to CloudFront with these steps.

  • How to build a daemon to encode video files on S3 ?

    4 avril 2013, par Yuval Cohen

    I 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

  • What are the gotchas of using statically linked libraries in serverless platforms such as Google Cloud Functions ?

    5 septembre 2017, par Dzh

    Libraries such as ffmpeg-static upload statically linked binaries onto container.

    I wonder what are the drawbacks of using this approach ?

    Does the library size counts against your memory use (it’s billed by GCloud) ?

    Does it slow down the container ? Perhaps some future-proofing issues ?

    Edit : Found something of a related (I wanted to setup OpenCV) on AWS blog. It doesn’t explain drawbacks, just shows how to do it exactly.

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