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  • 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 : (...)

  • Personnaliser en ajoutant son logo, sa bannière ou son image de fond

    5 septembre 2013, par

    Certains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;

  • Soumettre améliorations et plugins supplémentaires

    10 avril 2011

    Si vous avez développé une nouvelle extension permettant d’ajouter une ou plusieurs fonctionnalités utiles à MediaSPIP, faites le nous savoir et son intégration dans la distribution officielle sera envisagée.
    Vous pouvez utiliser la liste de discussion de développement afin de le faire savoir ou demander de l’aide quant à la réalisation de ce plugin. MediaSPIP étant basé sur SPIP, il est également possible d’utiliser le liste de discussion SPIP-zone de SPIP pour (...)

Sur d’autres sites (7766)

  • Using ffmpeg to stream live video from a raspberry pi to a web server for distribution

    7 mars 2019, par CNorlander

    I am trying to build a device that will encode h.264 video on a raspberrypi and stream it out to a separate web server in the cloud. The main issue I am having is most implementations I search for either have the web server directly on the pi or have the embedded player playing video directly from the device.

    I would like it to be pretty much plug and play no matter what network I am on ie no port forwarding of any sort all I need to do is connect the device to the network and the stream will be visible on a webpage.

    One possible solution to the issue is just simply encode frames in base 64 as jpegs and send them to a an endpoint on the webserver, however, this is a huge waste of bandwidth and wont allow for the framerate h.264 would.

    Any idea on some possible technologies that could be used to do this ?

    I feel like it can be done with some websockets or zmq and ffmpeg somehow but I am not sure.

  • Best language to use for AWS Beanstalk worker, for Watermarking videos

    16 juin 2017, par RAJ CHOURASIA

    I have a requirement such that, for each customer, the video content I have has to be separately watermarked and kept in the cloud. Also, this whole process is to be automated.

    The way I have figured the architecture is that :

    • I would use AWS SQS queue, to update for which Customers, which set of videos have to be watermarked
    • AWS Beanstalk worker would read the queue, pick up the videos from a S3 location, watermark the required videos and save back in a separate S3 location

    Total size of all the videos can be upto 15GB, which takes more than 24hrs to watermark, using "ffmpeg", so I will also require

    • Ability to parallel process, use multiple CPU cores if available
    • Ability to auto scale, when required

    In order to achieve this, what would be the best Language to use, to write the AWS Beanstalk worker logic ?

  • Revision b7050c0be3 : Motion compensated reference refinement This commit applies one-step refinement

    23 février 2015, par Jingning Han

    Changed Paths :
     Modify /vp9/encoder/vp9_encodeframe.c



    Motion compensated reference refinement

    This commit applies one-step refinement search to the resulting
    motion vector of the integral projectiion based motion estimation,
    per 64x64 block. It improves the coding performance of speed -6.

    pedestrian 1080p 500 kbps
    51735 b/f, 36.794 dB, 16044 ms ->
    51382 b/f, 36.793 dB, 16282 ms

    cloud 1080p 500 kbps
    24081 b/f, 37.988 dB, 14016 ms ->
    23597 b/f, 38.076 dB, 12774 ms

    vidyo1 720p 1000 kbps
    16552 b/f, 40.514 dB, 8279 ms ->
    16553 b/f, 40.543 dB, 8510 ms

    The rtc set compression performance is improved by 0.5%.

    Change-Id : I3d09bea2caf58b2a4f3b38aa26fffafcbe9a2c17

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