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  • Utilisation et configuration du script

    19 janvier 2011, par

    Informations spécifiques à la distribution Debian
    Si vous utilisez cette distribution, vous devrez activer les dépôts "debian-multimedia" comme expliqué ici :
    Depuis la version 0.3.1 du script, le dépôt peut être automatiquement activé à la suite d’une question.
    Récupération du script
    Le script d’installation peut être récupéré de deux manières différentes.
    Via svn en utilisant la commande pour récupérer le code source à jour :
    svn co (...)

Sur d’autres sites (1903)

  • Chore : Add CodeQL analysis

    23 juin 2022, par bytestream
    Chore : Add CodeQL analysis

  • Which is better for pixel-level analysis of television (TV) video, OpenCV or ffmpeg ? [closed]

    5 décembre 2011, par Randall Cook

    I need to do some pixel-level analysis of television (TV) video. I have used ffmpeg in the past for analyzing video from files, but it wasn't exactly easy. I am thinking of giving OpenCV a try. Any recommendations or advice ?

    Let's assume that I am starting with an MPEG-2 transport stream, and the analysis needs to run in real-time on Linux. I was also planning on using Intel's IPP library for some of the number crunching.

  • Recommendations for real-time pixel-level analysis of television (TV) video

    6 décembre 2011, par Randall Cook

    [Note : This is a rewrite of an earlier question that was considered inappropriate and closed.]

    I need to do some pixel-level analysis of television (TV) video. The exact nature of this analysis is not pertinent, but it basically involves looking at every pixel of every frame of TV video, starting from an MPEG-2 transport stream. The host platform will be server-class, multiprocessor 64-bit Linux machines.

    I need a library that can handle the decoding of the transport stream and present me with the image data in real-time. OpenCV and ffmpeg are two libraries that I am considering for this work. OpenCV is appealing because I have heard it has easy to use APIs and rich image analysis support, but I have no experience using it. I have used ffmpeg in the past for extracting video frame data from files for analysis, but it lacks image analysis support (though Intel's IPP can supplement).

    In addition to general recommendations for approaches to this problem (excluding the actual image analysis), I have some more specific questions that would help me get started :

    1. Are ffmpeg or OpenCV commonly used in industry as a foundation for real-time
      video analysis, or is there something else I should be looking at ?
    2. Can OpenCV decode video frames in real time, and still leave enough
      CPU left over to do nontrivial image analysis, also in real-time ?
    3. Is sufficient to use ffpmeg for MPEG-2 transport stream decoding, or
      is it preferable to just use an MPEG-2 decoding library directly (and if so, which one) ?
    4. Are there particular pixel formats for the output frames that ffmpeg
      or OpenCV is particularly efficient at producing (like RGB, YUV, or YUV422, etc) ?

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