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  • Librairies et binaires spécifiques au traitement vidéo et sonore

    31 janvier 2010, par

    Les logiciels et librairies suivantes sont utilisées par SPIPmotion d’une manière ou d’une autre.
    Binaires obligatoires FFMpeg : encodeur principal, permet de transcoder presque tous les types de fichiers vidéo et sonores dans les formats lisibles sur Internet. CF ce tutoriel pour son installation ; Oggz-tools : outils d’inspection de fichiers ogg ; Mediainfo : récupération d’informations depuis la plupart des formats vidéos et sonores ;
    Binaires complémentaires et facultatifs flvtool2 : (...)

  • Support audio et vidéo HTML5

    10 avril 2011

    MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
    Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
    Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
    Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...)

  • De l’upload à la vidéo finale [version standalone]

    31 janvier 2010, par

    Le chemin d’un document audio ou vidéo dans SPIPMotion est divisé en trois étapes distinctes.
    Upload et récupération d’informations de la vidéo source
    Dans un premier temps, il est nécessaire de créer un article SPIP et de lui joindre le document vidéo "source".
    Au moment où ce document est joint à l’article, deux actions supplémentaires au comportement normal sont exécutées : La récupération des informations techniques des flux audio et video du fichier ; La génération d’une vignette : extraction d’une (...)

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  • Images read from ffmpeg's standard output does sometimes become scrambled. Why ?

    18 décembre 2014, par user1049697

    I am trying to convert a video into images with ffmpeg, and then reading these images in a Java program which converts them to a file (that is just for testing, I know ffmpeg can do it too). This works fine for the most part, except that some images become scrambled by ffmpeg and I have no idea why. Is it something wrong with my code, or is it a ffmpeg quirk ?

    ffmpeg somestimes recover after this strange conversion, while other times it continues to produce garbage. This is how a good and a bad image looks, taken a second in between : Good.Bad.

    This is the code I’m using.

    process = new ProcessBuilder(ffmpeg, "-i", "C:\myvideo.mpeg", "-r", "1", "-f", "image2pipe", "-c", "png", "-").start();

    imageStream = process.getInputStream();

    BufferedImage imageBuffer = ImageIO.read(imageStream);

    while(imageStream.available() > 0)
    {
       try
       {
           imageBuffer = ImageIO.read(imageStream);    
       }
       catch (Exception e)
       {
           e.printStackTrace();
       }

       if(imageBuffer != null)
       {
           try
           {
               File outputfile = new File("c:\\image.png");
               ImageIO.write(imageBuffer, "png", outputfile);
           }
           catch (IOException e)
           {
                   e.printStackTrace();
           }
       }
    }

    I do get some Java stack traces that might give some useful info. They refer to JPEG, although I’m using PNG for output.

    javax.imageio.IIOException: Unsupported JPEG process: SOF type 0xc7
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readImageHeader(Native Method)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readNativeHeader(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.checkTablesOnly(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.gotoImage(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readHeader(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readInternal(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at FilmConverter$1.run(FilmConverter.java:178)

    javax.imageio.IIOException: Bogus DQT index 6
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readImageHeader(Native Method)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readNativeHeader(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.checkTablesOnly(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.gotoImage(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readHeader(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readInternal(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at FilmConverter$1.run(FilmConverter.java:178)

    javax.imageio.IIOException: Unsupported JPEG process: SOF type 0xce
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readImageHeader(Native Method)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readNativeHeader(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.checkTablesOnly(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.gotoImage(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readHeader(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.readInternal(Unknown Source)
       at com.sun.imageio.plugins.jpeg.JPEGImageReader.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at FilmConverter$1.run(FilmConverter.java:178)

    java.lang.RuntimeException: New BMP version not implemented yet.
       at com.sun.imageio.plugins.bmp.BMPImageReader.readHeader(Unknown Source)
       at com.sun.imageio.plugins.bmp.BMPImageReader.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at javax.imageio.ImageIO.read(Unknown Source)
       at FilmConverter$1.run(FilmConverter.java:178)
  • Leading Google Analytics alternative, Matomo, parodies Christopher Nolan blockbuster ahead of the UA sunset

    4 juillet 2023, par Erin — Press Releases

    Wellington, New Zealand, 4 July 2023 : In the world of online data, Google Analytics has long reigned supreme. Its dominance has been unquestioned, leaving website owners with little choice but to rely on the tech giant for their data insights. However, a new dawn in web analytics is upon us, and Matomo, the leading alternative to Google Analytics, is seizing a unique opportunity to position itself as the go-to provider. In a bold move, Matomo has launched a parody trailer, “Googleheimer,” humorously taking a satirical swipe at Google in the style of the upcoming Oppenheimer biopic by Christopher Nolan.

    Capitalising on a time-bound decision

    With an important decision looming for marketers and web specialists who need to switch analytics providers by July 1st, Matomo has found the perfect window to capture their attention.

    The urgency of the situation, combined with the high intent to switch providers, sets the stage for Matomo to establish itself as the leading alternative analytics platform of choice.

    Matomo’s parody trailer addresses the frustrations of GA4 head-on by highlighting the issues and the uncertainties caused by the sunset of Universal Analytics in humorous satire with lines such as :

    “But we’re keeping everyone’s data, right ? Right ?? …RIGHT ?!”

    Riding on the coat tails of this summer’s anticipated blockbuster from Christopher Nolan, Matomo openly points at the downsides of GA4, and reflects many frustrated marketers pain points in an entertaining way. Beneath the comedic and satirical tone lies the message that users have choices, and no longer need to surrender to the behemoth incumbent.

    Matomo was founded to challenge the status quo and provide a solution for those who believe in privacy and in ethical analytics, and who prefer that their customer data not be concentrated in the hands of just a few corporations.

    Watch the full trailer here. 


    About Matomo

    Matomo is a world-leading open-source privacy-friendly ethical web analytics platform, trusted by over 1.4 million websites in 190 countries and translated into over 50 languages. Matomo helps businesses and organisations track and optimise their online presence allowing users to easily collect, analyse, and act on their website and marketing data to gain a deeper understanding of their visitors and drive conversions and revenue. Matomo’s vision is to create, as a community, the leading open digital analytics platform that gives every user complete control of their data.

    Visit matomo.org for more information.




    More on Google Analytics changes



    A new dawn in web analytics is upon us, and Matomo – the leading alternative to Google Analytics – is here for it. After 20 years, Google is blowing up Universal Analytics (or GA3) – and taking your data with it. Inspired by Christopher Nolan’s upcoming biopic about physicist J. Robert Oppenheimer and the making of his atomic bomb (also known as “The Manhattan Project”), this parody trailer openly points to Google and draws the comparison in humorous satire. GA4 comes with a new set of metrics, setups and reports that change how you analyse your data.

  • Anomalie #3592 (En cours) : Robots.txt.html et tests de compatibilité mobile de Google

    25 novembre 2019, par Ben .

    Je rouvre pour (re)discuter du sujet je viens d’ajouter 2 captures d’écrans avec l’état actuel de contrib .

    Faut il ajouter 2 lignes au robots.txt actuel ?

    Allow :    /local/cache-gd2/
    Allow :    /local/cache-vignettes/
    

    https://git.spip.net/SPIP/dist/src/branch/master/robots.txt.html