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Autres articles (50)

  • Keeping control of your media in your hands

    13 avril 2011, par

    The 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 (...)

  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

  • Les formats acceptés

    28 janvier 2010, par

    Les commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
    ffmpeg -codecs ffmpeg -formats
    Les format videos acceptés en entrée
    Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
    Les formats vidéos de sortie possibles
    Dans un premier temps on (...)

Sur d’autres sites (9285)

  • How to transcode 50 H264 Streams with FFMPEG more efficient ?

    20 juin 2019, par Kevin

    i need to (Re-)Transcode 50 Live-Streams. These streams are in H264 with 720p to 1080p and bitrates up to 10M. I just want to reduce the quality and bitrate of the streams to up to 720p with max. 2M Bitrate.

    That’s what i’m doing right now :

    ffmpeg -re -i "http://domain.tld/path/file.ext" -vcodec libx264 -preset veryfast -vf scale=-2:720 -b:v 2M -maxrate 2M -bufsize 1M -acodec libfdk_aac -f flv "rtmp://127.0.0.1:1935/live/stream_xyz"

    My Server CPU (2 x Xeon E5-2630 v3) is already at 100% with just 12 streams. I will upgrade my server to 2 x Xeon Gold 5118 next month, but i don’t think, that this will give me that much more power.

    Can someone help me, to do this more efficient ?

    Would it be more efficient / cheaper to do this with GPUs ?

    Or any other ideas, to do that as efficient and cheap as possible ?

    Thanks

  • How to transcode 50 H264 Streams with FFMPEG more efficient ?

    20 juin 2019, par Kevin

    i need to (Re-)Transcode 50 Live-Streams. These streams are in H264 with 720p to 1080p and bitrates up to 10M. I just want to reduce the quality and bitrate of the streams to up to 720p with max. 2M Bitrate.

    That’s what i’m doing right now :

    ffmpeg -re -i "http://domain.tld/path/file.ext" -vcodec libx264 -preset veryfast -vf scale=-2:720 -b:v 2M -maxrate 2M -bufsize 1M -acodec libfdk_aac -f flv "rtmp://127.0.0.1:1935/live/stream_xyz"

    My Server CPU (2 x Xeon E5-2630 v3) is already at 100% with just 12 streams. I will upgrade my server to 2 x Xeon Gold 5118 next month, but i don’t think, that this will give me that much more power.

    Can someone help me, to do this more efficient ?

    Would it be more efficient / cheaper to do this with GPUs ?

    Or any other ideas, to do that as efficient and cheap as possible ?

    Thanks

  • Google AppEngine flex as a transcoder [closed]

    6 septembre 2021, par jACK

    Situation :

    


      

    • A Nodejs/Express application running on appengine flex.

      • 


    • Using FFmpeg to cut videos, and merge different types of videos. 1080p 30fps videos, merged video duration usually around 8 hours.

      • 


    • Need for a massive amout of processing power for those edits.

      • 


    • The express server needs to be reachable 24/7 & flex is incredibly expensive if run on a 24/7 basis.

      • 


    


    Goal :

    


      

    • To have a cost efficient ffmpeg transcoder on a private enviroment =>

      • 


    • Flex instance as a maximum spec, but as its idle reduce the price significantly.

      • 


    


    Or is this a situation where a redesign is imminent ? eg. Compute Engine

    


    Tried approach

    


      

    • B8 Standard instance => Since the payload is pretty big, its causing the B8 instance to crash.

      • 


    


    Thanks.

    


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