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Autres articles (39)

  • Contribute to a better visual interface

    13 avril 2011

    MediaSPIP is based on a system of themes and templates. Templates define the placement of information on the page, and can be adapted to a wide range of uses. Themes define the overall graphic appearance of the site.
    Anyone can submit a new graphic theme or template and make it available to the MediaSPIP community.

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
    The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
    For older browsers the Flowplayer flash fallback is used.
    MediaSPIP allows for media playback on major mobile platforms with the above (...)

  • Contribute to translation

    13 avril 2011

    You can help us to improve the language used in the software interface to make MediaSPIP more accessible and user-friendly. You can also translate the interface into any language that allows it to spread to new linguistic communities.
    To do this, we use the translation interface of SPIP where the all the language modules of MediaSPIP are available. Just subscribe to the mailing list and request further informantion on translation.
    MediaSPIP is currently available in French and English (...)

Sur d’autres sites (4351)

  • OpenCV and GoPro - empty frames in VideoCapture stream

    19 mai 2014, par Novatar

    I have a GoPro Hero 3+ (Black) which is connected to a video capture card (AverMedia Game Broadcaster HD). I simply want to get the video stream in OpenCV. With a Logitech Webcam there are no problems. The used code is below.

    VideoCapture cap;
    cap.open(0);

    waitKey(300);

    //cap.set(CV_CAP_PROP_FRAME_WIDTH, 1280);
    //cap.set(CV_CAP_PROP_FRAME_HEIGHT, 720);

    if (cap.isOpened()){
       cout << "Cam identified" << endl;
    }

    namedWindow("dst", 1);

    while (1){

    Mat frame;

    if (!cap.read(frame)) {
       std::cout << "Unable to read frame from video stream" << std::endl;
       continue;
    }

    imshow("dst", frame);

    [...]

    }

    With the GoPro the following happens : OpenCV is able to open the VideoCapture ("Cam identified") but can’t read any frames (just a gray screen and the output : "Unable to read frame from video stream"). I also checked this with frame.empty() ;.

    I know that the video capture card works correct because Unity opens a WebCamTexture with the GoPro stream without any issues. I read about codec problems in OpenCv and so I already tried to compile OpenCV with FFMPEG support. Now the recorded MP4-Videos of the GoPro can be displayed but the stream still doesn’t work.

    I use OpenCV 2.48, Windows 7 and Visual Studio 2013.


    EDIT : Here is the code of libVLC solution :

    struct ctx
    {
    uint8_t* pixeldata;
    std::mutex imagemutex;
    };

    static void display(void *data, void *id);
    static void unlock(void *data, void *id, void *const *p_pixels);
    static void *lock(void *data, void **p_pixels);

    struct ctx ctx;

    libvlc_instance_t *inst;
    libvlc_media_player_t *mp;
    libvlc_media_t *m;

    int main(int argc, char* argv[])
    {
       ctx.pixeldata = new uint8_t[1280 * 720 * 3];

       char const *vlc_argv[] =
       {
           "-vvv",
           "--no-audio", /* skip any audio track */
           "--no-xlib", /* tell VLC to not use Xlib */
       };

       int vlc_argc = sizeof(vlc_argv) / sizeof(*vlc_argv);
       inst = libvlc_new(vlc_argc, vlc_argv);

       const char *options[] =
       {
           ":dshow-vdev=AVerMedia HD Capture",
           ":dshow-adev=none",
           //":dshow-size=1280x720",
           ":dshow-fps=24",
           ":dshow-chroma=YUY2",
           ":dshow-video-input=1",
           ":dshow-video-output=1",
           ":dshow-aspect-ratio=16\:9",
           ":live-caching=80",
           NULL
       };

       m = libvlc_media_new_location(inst, "dshow://");
       for (const char **opt = options; *opt; opt++)
           libvlc_media_add_option(m, *opt);

       mp = libvlc_media_player_new_from_media(m);
       libvlc_media_release(m);
       libvlc_video_set_callbacks(mp, lock, unlock, display, &ctx);
       libvlc_video_set_format(mp, "RV24", 1280, 720, 1280 * 3);
       libvlc_media_player_play(mp);

       namedWindow("all", 1);

       Mat frame(720, 1280, CV_8UC3);

       while (1){

           ctx.imagemutex.lock();
           memcpy(gesamt.data, ctx.pixeldata, 1280 * 720 * sizeof(uint8_t) * 3);
           ctx.imagemutex.unlock();

           imshow("all", gesamt);

           if (waitKey(30) == 27) //wait for 'esc' key press for 30ms. If 'esc' key is pressed, break loop
           {
               cout << "esc key is pressed by user" << endl;
               break;
           }

       }

       libvlc_media_player_stop(mp);
       libvlc_media_player_release(mp);
       libvlc_release(inst);
       delete[] ctx.pixeldata;

       return 0;
    }

    void display(void *data, void *id){
       (void)data;
       assert(id == NULL);
    }

    void unlock(void *data, void *id, void *const *p_pixels){
       struct ctx *ctx = (struct ctx*)data;
       ctx->imagemutex.unlock();
       assert(id == NULL);
    }

    void *lock(void *data, void **p_pixels){
       struct ctx *ctx = (struct ctx*)data;
       ctx->imagemutex.lock();
       *p_pixels = ctx->pixeldata;
       return NULL;
    }
  • IJG swings again, and misses

    1er février 2010, par Mans — Multimedia

    Earlier this month the IJG unleashed version 8 of its ubiquitous libjpeg library on the world. Eager to try out the “major breakthrough in image coding technology” promised in the README file accompanying v7, I downloaded the release. A glance at the README file suggests something major indeed is afoot :

    Version 8.0 is the first release of a new generation JPEG standard to overcome the limitations of the original JPEG specification.

    The text also hints at the existence of a document detailing these marvellous new features, and a Google search later a copy has found its way onto my monitor. As I read, however, my state of mind shifts from an initial excited curiosity, through bewilderment and disbelief, finally arriving at pure merriment.

    Already on the first page it becomes clear no new JPEG standard in fact exists. All we have is an unsolicited proposal sent to the ITU-T by members of the IJG. Realising that even the most brilliant of inventions must start off as mere proposals, I carry on reading. The summary informs me that I am about to witness the introduction of three extensions to the T.81 JPEG format :

    1. An alternative coefficient scan sequence for DCT coefficient serialization
    2. A SmartScale extension in the Start-Of-Scan (SOS) marker segment
    3. A Frame Offset definition in or in addition to the Start-Of-Frame (SOF) marker segment

    Together these three extensions will, it is promised, “bring DCT based JPEG back to the forefront of state-of-the-art image coding technologies.”

    Alternative scan

    The first of the proposed extensions introduces an alternative DCT coefficient scan sequence to be used in place of the zigzag scan employed in most block transform based codecs.

    Alternative scan sequence

    Alternative scan sequence

    The advantage of this scan would be that combined with the existing progressive mode, it simplifies decoding of an initial low-resolution image which is enhanced through subsequent passes. The author of the document calls this scheme “image-pyramid/hierarchical multi-resolution coding.” It is not immediately obvious to me how this constitutes even a small advance in image coding technology.

    At this point I am beginning to suspect that our friend from the IJG has been trapped in a half-world between interlaced GIF images transmitted down noisy phone lines and today’s inferno of SVC, MVC, and other buzzwords.

    (Not so) SmartScale

    Disguised behind this camel-cased moniker we encounter a method which, we are told, will provide better image quality at high compression ratios. The author has combined two well-known (to us) properties in a (to him) clever way.

    The first property concerns the perceived impact of different types of distortion in an image. When encoding with JPEG, as the quantiser is increased, the decoded image becomes ever more blocky. At a certain point, a better subjective visual quality can be achieved by down-sampling the image before encoding it, thus allowing a lower quantiser to be used. If the decoded image is scaled back up to the original size, the unpleasant, blocky appearance is replaced with a smooth blur.

    The second property belongs to the DCT where, as we all know, the top-left (DC) coefficient is the average of the entire block, its neighbours represent the lowest frequency components etc. A top-left-aligned subset of the coefficient block thus represents a low-resolution version of the full block in the spatial domain.

    In his flash of genius, our hero came up with the idea of using the DCT for down-scaling the image. Unfortunately, he appears to possess precious little knowledge of sampling theory and human visual perception. Any block-based resampling will inevitably produce sharp artefacts along the block edges. The human visual system is particularly sensitive to sharp edges, so this is one of the most unwanted types of distortion in an encoded image.

    Despite the obvious flaws in this approach, I decided to give it a try. After all, the software is already written, allowing downscaling by factors of 8/8..16.

    Using a 1280×720 test image, I encoded it with each of the nine scaling options, from unity to half size, each time adjusting the quality parameter for a final encoded file size of no more than 200000 bytes. The following table presents the encoded file size, the libjpeg quality parameter used, and the SSIM metric for each of the images.

    Scale Size Quality SSIM
    8/8 198462 59 0.940
    8/9 196337 70 0.936
    8/10 196133 79 0.934
    8/11 197179 84 0.927
    8/12 193872 89 0.915
    8/13 197153 92 0.914
    8/14 188334 94 0.899
    8/15 198911 96 0.886
    8/16 197190 97 0.869

    Although the smaller images allowed a higher quality setting to be used, the SSIM value drops significantly. Numbers may of course be misleading, but the images below speak for themselves. These are cut-outs from the full image, the original on the left, unscaled JPEG-compressed in the middle, and JPEG with 8/16 scaling to the right.

    Looking at these images, I do not need to hesitate before picking the JPEG variant I prefer.

    Frame offset

    The third and final extension proposed is quite simple and also quite pointless : a top-left cropping to be applied to the decoded image. The alleged utility of this feature would be to enable lossless cropping of a JPEG image. In a typical image workflow, however, JPEG is only used for the final published version, so the need for this feature appears quite far-fetched.

    The grand finale

    Throughout the text, the author makes references to “the fundamental DCT property for image representation.” In his own words :

    This property was found by the author during implementation of the new DCT scaling features and is after his belief one of the most important discoveries in digital image coding after releasing the JPEG standard in 1992.

    The secret is to be revealed in an annex to the main text. This annex quotes in full a post by the author to the comp.dsp Usenet group in a thread with the subject why DCT. Reading the entire thread proves quite amusing. A few excerpts follow.

    The actual reason is much simpler, and therefore apparently very difficult to recognize by complicated-thinking people.

    Here is the explanation :

    What are people doing when they have a bunch of images and want a quick preview ? They use thumbnails ! What are thumbnails ? Thumbnails are small downscaled versions of the original image ! If you want more details of the image, you can zoom in stepwise by enlarging (upscaling) the image.

    So with proper understanding of the fundamental DCT property, the MPEG folks could make their videos more scalable, but, as in the case of JPEG, they are unable to recognize this simple but basic property, unfortunately, and pursue rather inferior approaches in actual developments.

    These are just phrases, and they don’t explain anything. But this is typical for the current state in this field : The relevant people ignore and deny the true reasons, and thus they turn in a circle and no progress is being made.

    However, there are dark forces in action today which ignore and deny any fruitful advances in this field. That is the reason that we didn’t see any progress in JPEG for more than a decade, and as long as those forces dominate, we will see more confusion and less enlightenment. The truth is always simple, and the DCT *is* simple, but this fact is suppressed by established people who don’t want to lose their dubious position.

    I believe a trip to the Total Perspective Vortex may be in order. Perhaps his tin-foil hat will save him.

  • FFmpeg error : ratecontrol_init : can't open stats file

    18 décembre 2015, par oldo.nicho

    I’ve setup an AWS EC2 instance running Ubuntu 14.04 and have installed FFmpeg so that I can compress and transcode video.

    I’m trying to do a two pass conversion with the following code :

    ffmpeg -i input-file.avi -codec:v libx264 -profile:v high -preset slow -b:v 500k -maxrate 500k -bufsize 1000k -vf scale=702:-1 -threads 0 -pass 1 -an -f mp4 ~/encoded/null

    and second pass :

    ffmpeg -i input-file.avi -codec:v libx264 -profile:v high -preset slow -b:v 500k -maxrate 500k -bufsize 1000k -vf scale=702:-1 -threads 0 -pass 2 -codec:a libfdk_aac -b:a 128k -f mp4 output-file.mp4

    However I get the following error :

    ffmpeg version N-77283-g91c2a33 Copyright (c) 2000-2015 the FFmpeg developers
     built with gcc 4.8 (Ubuntu 4.8.4-2ubuntu1~14.04)
     configuration: --prefix=/home/ubuntu/ffmpeg_build --pkg-config-flags=--static --extra-cflags=-I/home/ubuntu/ffmpeg_build/include --extra-ldflags=-L/home/ubuntu/ffmpeg_build/lib --bindir=/home/ubuntu/bin --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libx264 --enable-nonfree
     libavutil      55. 11.100 / 55. 11.100
     libavcodec     57. 17.100 / 57. 17.100
     libavformat    57. 20.100 / 57. 20.100
     libavdevice    57.  0.100 / 57.  0.100
     libavfilter     6. 21.100 /  6. 21.100
     libswscale      4.  0.100 /  4.  0.100
     libswresample   2.  0.101 /  2.  0.101
     libpostproc    54.  0.100 / 54.  0.100
    Input #0, avi, from 'input-file.avi':
     Duration: 01:18:05.29, start: 0.000000, bitrate: 2025 kb/s
       Stream #0:0: Video: mpeg4 (Simple Profile) (XVID / 0x44495658), yuv420p, 720x480 [SAR 1:1 DAR 3:2], 1789 kb/s, 29.97 fps, 29.97 tbr, 29.97 tbn, 29.97 tbc
       Stream #0:1: Audio: ac3 ([0] [0][0] / 0x2000), 48000 Hz, stereo, fltp, 224 kb/s
    [libx264 @ 0x1e04240] using SAR=1/1
    [libx264 @ 0x1e04240] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX AVX2 FMA3 LZCNT BMI2
    [libx264 @ 0x1e04240] ratecontrol_init: can't open stats file
    Output #0, mp4, to '/home/ubuntu/encoded/null':
       Stream #0:0: Video: h264, none, q=2-31, 128 kb/s, SAR 1:1 DAR 0:0, 29.97 fps
       Metadata:
         encoder         : Lavc57.17.100 libx264
    Stream mapping:
     Stream #0:0 -> #0:0 (mpeg4 (native) -> h264 (libx264))
    Error while opening encoder for output stream #0:0 - maybe incorrect parameters such as bit_rate, rate, width or height

    The command as written above works fine on my local computer (running OSX). Would anyone have any suggestions as to how to fix this problem ?