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  • Le profil des utilisateurs

    12 avril 2011, par

    Chaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
    L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...)

  • Selection of projects using MediaSPIP

    2 mai 2011, par

    The examples below are representative elements of MediaSPIP specific uses for specific projects.
    MediaSPIP farm @ Infini
    The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...)

  • 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 (...)

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  • How to improve random access of a video frame with Python ?

    11 octobre 2024, par Paul Jurczak

    I'm using pims library (https://github.com/soft-matter/pims) to access frames from .MOV file with over 25K frames, 3840 × 2160, H.264 (High Profile), 60fps.

    


    import pims
from time import perf_counter

video = pims.Video('video/v1.MOV')
t0 = perf_counter()
img = video[1000]
t1 = perf_counter()
print(f'{(t1-t0):.3f}s  {img.shape}')


    


    Here are the timings on a fairly fast PC, after file open :

    


      

    • frame #100 : 2.97s

      • 


    • frame #1,000 : 28.39s

      • 


    • frame #10,000 : 280.19s

      • 


    


    AFAIK, this library uses ffmpeg, which can access frame #10,000 with ffmpeg -ss 00:02:46.66 -i v1.MOV -frames:v 1 f10k.png practically instantaneously. Is there a way to improve frame access with pims or some other method ?

    


  • Revision cd4bac3004 : Prevent access to invalid pointer The commit added check to make sure no invali

    15 octobre 2013, par Yaowu Xu

    Changed Paths :
     Modify /vp9/vp9_dx_iface.c



    Prevent access to invalid pointer

    The commit added check to make sure no invalid memory access even when
    the decoder instance is never initialized.

    Change-Id : I4da343d0b3c78c27777ac7f5ce7688562c69f0c5

  • Revision ff1083c113 : Prevent access to invalid pointer The commit added check to make sure no invali

    15 octobre 2013, par Yaowu Xu

    Changed Paths :
     Modify /vp9/vp9_dx_iface.c



    Prevent access to invalid pointer

    The commit added check to make sure no invalid memory access even when
    the decoder instance is never initialized.

    Change-Id : I4da343d0b3c78c27777ac7f5ce7688562c69f0c5

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