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  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

  • 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 (...)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

Sur d’autres sites (5591)

  • FFMPEG - Add (white, color-less, analog) grain to the video without desaturating video itself

    2 décembre 2018, par dd_code

    I am working on old videos where I am basically converting them to HVEC and sharpening, so i.e. my command can look like this

    .\ffmpeg.exe -i F:\file.mkv -vf unsharp=3:3:1.5 -c:v hevc_nvenc -qp 27 -a:c copy file_new.mkv

    inherent problem with this is, of course that with reducing bitrate and sharpening every now and then I can notice some nasty artifacts around the edges and on at plain-color objects.

    I noticed with some older, many times remastered movies/series that they have quite a lot of grain in the video, so I was thinking - what if I add grain and help it to mask the compression and sharpening artifacts ?

    After bit of searching I got to
    https://ffmpeg.org/ffmpeg-filters.html#noise
    and now I am using this command

    .\ffmpeg.exe -i F:\file.mkv -vf unsharp=3:3:1.5,noise=alls=14:allf=t+u -c:v hevc_nvenc -qp 30 -a:c copy file_new.mkv

    however this has one big problem, it is merely a digital RGB noise, is there a way to make it desaturated, analog-ish ? I tried adding h=s=0, however this is applying 0 saturation to the video track as a whole. Is there an effect which would achieve this or is there a way that I can reduce the saturation only of the very effect which then gets to "overlay" the video track, so the track would not be touched ?

  • How to obtain time markers for video splitting using python/OpenCV

    10 novembre 2018, par Bleddyn Raw-Rees

    I’m working on my MSc project which is researching automated deletion of low value content in digital file stores. I’m specifically looking at the sort of long shots that often occur in natural history filming whereby a static camera is left rolling in order to capture the rare snow leopard or whatever. These shots may only have some 60s of useful content with perhaps several hours of worthless content either side.

    As a first step I have a simple motion detection program from Adrian Rosebrock’s tutorial [http://www.pyimagesearch.com/2015/05/25/basic-motion-detection-and-tracking-with-python-and-opencv/#comment-393376]. Next I intend to use FFMPEG to split the video.

    What I would like help with is how to get in and out points based on the first and last points that motion is detected in the video.

    Here is the code should you wish to see it...

    # import the necessary packages
    import argparse
    import datetime
    import imutils
    import time
    import cv2

    # construct the argument parser and parse the arguments
    ap = argparse.ArgumentParser()
    ap.add_argument("-v", "--video", help="path to the video file")
    ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size")
    args = vars(ap.parse_args())

    # if the video argument is None, then we are reading from webcam
    if args.get("video", None) is None:
    camera = cv2.VideoCapture(0)
    time.sleep(0.25)

    # otherwise, we are reading from a video file
    else:
       camera = cv2.VideoCapture(args["video"])

    # initialize the first frame in the video stream
    firstFrame = None

    # loop over the frames of the video
    while True:
       # grab the current frame and initialize the occupied/unoccupied
       # text
       (grabbed, frame) = camera.read()
       text = "Unoccupied"

       # if the frame could not be grabbed, then we have reached the end
       # of the video
       if not grabbed:
           break

       # resize the frame, convert it to grayscale, and blur it
       frame = imutils.resize(frame, width=500)
       gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
       gray = cv2.GaussianBlur(gray, (21, 21), 0)

       # if the first frame is None, initialize it
       if firstFrame is None:
           firstFrame = gray
           continue

       # compute the absolute difference between the current frame and
       # first frame
       frameDelta = cv2.absdiff(firstFrame, gray)
       thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1]

       # dilate the thresholded image to fill in holes, then find contours
       # on thresholded image
       thresh = cv2.dilate(thresh, None, iterations=2)
       (_, cnts, _) = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

       # loop over the contours
       for c in cnts:
           # if the contour is too small, ignore it
           if cv2.contourArea(c) < args["min_area"]:
               continue

           # compute the bounding box for the contour, draw it on the frame,
           # and update the text
           (x, y, w, h) = cv2.boundingRect(c)
           cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
           text = "Occupied"

       # draw the text and timestamp on the frame
       cv2.putText(frame, "Room Status: {}".format(text), (10, 20),
           cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
       cv2.putText(frame, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"),
           (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 255), 1)

       # show the frame and record if the user presses a key
       cv2.imshow("Security Feed", frame)
       cv2.imshow("Thresh", thresh)
       cv2.imshow("Frame Delta", frameDelta)
       key = cv2.waitKey(1) & 0xFF

       # if the `q` key is pressed, break from the lop
       if key == ord("q"):
           break

    # cleanup the camera and close any open windows
    camera.release()
    cv2.destroyAllWindows()
  • "Non-monotonous DTS in output stream 0:0 This may result in incorrect timestamps in the output file." error

    1er août 2019, par petaire

    I’m trying to go from .mkv to .mp4 through ffmpeg. Normally I would use

    ffmpeg -i $1 -codec copy -strict -2 $2

    But on this particular file, I get this error, like, A LOT :

    Non-monotonous DTS in output stream 0:0; previous: 49189232, current: 49189232; changing to 49189233. This may result in incorrect timestamps in the output file.

    I guess it has something to do with the DTS :

    [mp4 @ 0x7f8b14001200] Invalid DTS: 14832 PTS: 13552 in output stream 0:0, replacing by guess
    [mp4 @ 0x7f8b14001200] Invalid DTS: 15472 PTS: 12272 in output stream 0:0, replacing by guess

    I would not care if the result was ok, but the sound is out of sync, and the video is "stuttering". Feels like everything is out of sync.

    I’ve tried a lot of things, including -async 1 -vsync 1 , but nothing seems to work.

    Here’s some mediainfo :

    Complete name                            : /Users/petaire/Desktop/CNEWS-2019-07-23_16-00-00h.mkv
    Format                                   : Matroska
    Format version                           : Version 2
    File size                                : 1.19 GiB
    Movie name                               : Time-2019-07-23_16:00
    Writing application                      : Tvheadend 4.3-1801~g7f952c2ed
    Writing library                          : Tvheadend Matroska muxer
    Original source form                     : TV
    Comment                                  : Time recording
    IsTruncated                              : Yes
    DATE_BROADCASTED                         : 2019-07-23 16:00:00

    Video
    ID                                       : 1
    Format                                   : AVC
    Format/Info                              : Advanced Video Codec
    Format profile                           : High@L4
    Format settings                          : CABAC / 4 Ref Frames
    Format settings, CABAC                   : Yes
    Format settings, ReFrames                : 4 frames
    Codec ID                                 : V_MPEG4/ISO/AVC
    Width                                    : 1 920 pixels
    Height                                   : 1 080 pixels
    Display aspect ratio                     : 16:9
    Frame rate mode                          : Constant
    Frame rate                               : 25.000 fps
    Standard                                 : Component
    Color space                              : YUV
    Chroma subsampling                       : 4:2:0
    Bit depth                                : 8 bits
    Scan type                                : MBAFF
    Scan type, store method                  : Interleaved fields
    Scan order                               : Top Field First
    Language                                 : English
    Default                                  : Yes
    Forced                                   : No
    Color range                              : Limited
    Color primaries                          : BT.709
    Transfer characteristics                 : BT.709
    Matrix coefficients                      : BT.709

    Audio
    ID                                       : 2
    Format                                   : E-AC-3
    Format/Info                              : Enhanced AC-3
    Commercial name                          : Dolby Digital Plus
    Codec ID                                 : A_EAC3
    Bit rate mode                            : Constant
    Bit rate                                 : 128 Kbps
    Channel(s)                               : 2 channels
    Channel layout                           : L R
    Sampling rate                            : 48.0 KHz
    Frame rate                               : 31.250 fps (1536 SPF)
    Compression mode                         : Lossy
    Delay relative to video                  : -757ms
    Language                                 : French
    Service kind                             : Complete Main
    Default                                  : Yes
    Forced                                   : No

    Text
    ID                                       : 3
    Format                                   : DVB Subtitle
    Codec ID                                 : S_DVBSUB
    Codec ID/Info                            : Picture based subtitle format used on DVBs
    Language                                 : French
    Default                                  : Yes
    Forced                                   : No

    Any idea ?