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  • 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 (...)

  • Des sites réalisés avec MediaSPIP

    2 mai 2011, par

    Cette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
    Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.

  • Changer son thème graphique

    22 février 2011, par

    Le thème graphique ne touche pas à la disposition à proprement dite des éléments dans la page. Il ne fait que modifier l’apparence des éléments.
    Le placement peut être modifié effectivement, mais cette modification n’est que visuelle et non pas au niveau de la représentation sémantique de la page.
    Modifier le thème graphique utilisé
    Pour modifier le thème graphique utilisé, il est nécessaire que le plugin zen-garden soit activé sur le site.
    Il suffit ensuite de se rendre dans l’espace de configuration du (...)

Sur d’autres sites (11847)

  • Resize video using FFmpeg C API

    28 février 2012, par cr_az

    I am trying to resize video file on Android device using FFmpeg. Remark : I cant use FFmpeg as binary - in my case it should be used as shared library (only FFmpeg C API is accessible).

    I did not find any documentation regarding video resizing, however it looks like algorithm is following :

    10 OPEN video_stream FROM video.mp4
    
20 READ packet FROM video_stream INTO frame
    
30 IF frame NOT COMPLETE GOTO 20
    
40 RESIZE frame
    
50 WRITE frame TO converted_video.mp4
    
60 GOTO 20

    Should I use sws_scale function in order to resize frame ? Is there any other (easier ?) way to resize video file using FFmpeg C API ?

  • EC2 for video-encoding

    24 septembre 2012, par TK Kocheran

    I have a potential job which will require me to do some video encoding with FFMPEG and x264. I'll have a series of files which I'll need to encode once, then I'll be able to bring down the instances. Since I'm not really sure of the resource utilization of x264 and FFMPEG, what kind of instances should I get ? I'm thinking either a

    High-CPU Extra Large Instance

    7 GB of memory
    20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
    1690 GB of instance storage
    64-bit platform
    I/O Performance : High
    API name : c1.xlarge

    or, alternatively a

    Cluster GPU Quadruple Extra Large Instance

    22 GB of memory
    33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
    2 x NVIDIA Tesla “Fermi” M2050 GPUs
    1690 GB of instance storage
    64-bit platform
    I/O Performance : Very High (10 Gigabit Ethernet)
    API name : cg1.4xlarge

    What should I use ? Does x264/FFMPEG perform better with faster/more CPUs or does it really pound the GPU more ? In any case, it seems that the Cluster GPU seems to be the higher performance instance. What should I prefer ?

  • EC2 for video-encoding

    24 septembre 2012, par TK Kocheran

    I have a potential job which will require me to do some video encoding with FFMPEG and x264. I'll have a series of files which I'll need to encode once, then I'll be able to bring down the instances. Since I'm not really sure of the resource utilization of x264 and FFMPEG, what kind of instances should I get ? I'm thinking either a

    High-CPU Extra Large Instance

    7 GB of memory
    20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
    1690 GB of instance storage
    64-bit platform
    I/O Performance : High
    API name : c1.xlarge

    or, alternatively a

    Cluster GPU Quadruple Extra Large Instance

    22 GB of memory
    33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
    2 x NVIDIA Tesla “Fermi” M2050 GPUs
    1690 GB of instance storage
    64-bit platform
    I/O Performance : Very High (10 Gigabit Ethernet)
    API name : cg1.4xlarge

    What should I use ? Does x264/FFMPEG perform better with faster/more CPUs or does it really pound the GPU more ? In any case, it seems that the Cluster GPU seems to be the higher performance instance. What should I prefer ?

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