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Autres articles (61)

  • 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" (...)

  • 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.

Sur d’autres sites (9225)

  • How to estimate bandwidth / speed requirements for real-time streaming video ?

    19 juin 2016, par Vivek Seth

    For a project I’m working on, I’m trying to stream video to an iPhone through its headphone jack. My estimated bitrate is about 200kbps (If i’m wrong about this, please ignore that).

    I’d like to squeeze as much performance out of this bitrate as possible and sound is not important for me, only video. My understanding is that to stream a a real-time video I will need to encode it with some codec on-the-fly and send compressed frames to the iPhone for it to decode and render. Based on my research, it seems that H.265 is one of the most space efficient codecs available so i’m considering using that.

    Assuming my basic understanding of live streaming is correct, how would I estimate the FPS I could achieve for a given resolution using the H.265 codec ?

    The best solution I can think of it to take a video file, encode it with H.265 and trim it to 1 minute of length to see how large the file is. The issue I see with this approach is that I think my calculations would include some overhead from the video container format (AVI, MKV, etc) and from the audio channels that I don’t care about.

  • Tools to determine video orientation

    6 avril 2014, par JayLev

    I receive videos from different devices and want to encode them using the correct orientation.

    I've seen some of examples of how to determine the orientation of a video from a iPhone.

    With exiftool and mediainfo I can indeed tell if an iPhone video has to be rotated.

    However, for android videos, both portrait and landscape videos have the same rotation and matrix structure as each other.

    Maybe this is just with my phone, I'm trying to find videos taken from newer droid phones.

    My question however is whether there's other tools or a different way to determine the orientation that'll work with all devices.

    EDIT :
    I just checked a video from a Samsung Galaxy S II, and I can get the orientation from exiftool. So it's not a problem with all android phones.
    My android phone is a HTC Desire running on android 2.2.

    And actually (I didn't even notice before) a portrait video will not be correctly oriented even when playing on the phone. So I guess it's not about the tools, the orientation data just doesn't seem to be correct at all.

  • Connect external cameras to iOS and decompress to a usable form

    27 septembre 2017, par Ping Chen

    I want to create a 2 camera setup which can send 1 of the camera views out as an RTMP stream depending on the motion intensity detected. The chosen camera view can change if motion intensity on the views changes.

    I imagine that I could use an iPhone/iPad as encoding/streaming hub as well as 1 of the cameras. And connect a WiFi camera to the iPad/iPhone to feed the 2nd camera view.

    My goals for the iOS side are :

    1. Connect with a WiFi camera on the local network
    2. Decode the data and run motion intensity detection on the WiFi camera feed AND the iPhone/iPad’s own camera feed with Brad Larson’s GPUImage framework https://github.com/BradLarson/GPUImage
    3. Stream out the chosen camera view. depending on motion detected

    Larson’s GPUImage framework works with an AVCaptureSession subclass. I’m only familiar with AVFoundation objects, but am a complete noob with it comes to VideoToolbox and some of the lower level iOS video stuff. Through googling, I kind of know that VTDecompressionSession is what I’d get from the WiFi camera. I have no clue how I can manipulate that to a usable form for my purposes.

    I’ve dug through stackoverflow answers such as : https://stackoverflow.com/a/29525001/7097455

    Very informative, but maybe I don’t even know to ask the correct questions