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Sur d’autres sites (5849)

  • Availability of WebM (VP8) Video Hardware IP Designs

    10 janvier 2011, par noreply@blogger.com (John Luther)

    Hello from the frigid city of Oulu, in the far north of Finland. Our WebM hardware development team, formerly part of On2 Technologies, is now up-to-speed and working hard on a number of video efforts for WebM.

    • VP8 (the video codec used in WebM) hardware decoder IP is available from Google for semiconductor companies who want to support high-quality WebM playback in their chipsets.
    • The Oulu team will release the first VP8 video hardware encoder IP in the first quarter of 2011. We have the IP running in an FPGA environment, and rigorous testing is underway. Once all features have been tested and implemented, the encoder will be launched as well.

    WebM video hardware IPs are implemented and delivered as RTL (VHDL/Verilog) source code, which is a register-level hardware description language for creating digital circuit designs. The code is based on the Hantro brand video IP from On2, which has been successfully deployed by numerous chipset companies around the world. Our designs support VP8 up to 1080p resolution and can run 30 or 60fps, depending on the foundry process and hardware clock frequency.

    The WebM/VP8 hardware decoder implementation has already been licensed to over twenty partners and is proven in silicon. We expect the first commercial chips to integrate our VP8 decoder IP to be available in the first quarter of 2011. For example, Chinese semiconductor maker Rockchip last week demonstrated full WebM hardware playback on their new RK29xx series processor at CES in Las Vegas (video below).


    Note : To view the video in WebM format, ensure that you’ve enrolled in the YouTube HTML5 trial and are using a WebM-compatible browser. You can also view the video on YouTube.

    Hardware implementations of the VP8 encoder also bring exciting possibilities for WebM in portable devices. Not only can hardware-accelerated devices play high-quality WebM content, but hardware encoding also enables high-resolution, real-time video communications apps on the same devices. For example, when VP8 video encoding is fully off-loaded to a hardware accelerator, you can run 720p or even 1080p video conferencing at full framerate on a portable device with minimal battery use.

    The WebM hardware video IP team will be focusing on further developing the VP8 hardware designs while also helping our semiconductor partners to implement WebM video compression in their chipsets. If you have any questions, please visit our Hardware page.

    Happy New Year to the WebM community !

    Jani Huoponen, Product Manager
    Aki Kuusela, Engineering Manager

  • Change AVI creation date with ffmpeg ?

    1er novembre 2016, par brock

    As far as I can tell the following ffmpeg command should copy all existing metadata in the input file to the output file and modify the specified field in the output file :

    ffmpeg -i VID_20130502_220104.avi -metadata creation_time="2013-05-02 22:01:04" -codec copy VID_20130502_220104-2.avi

    Instead, it seems to strip all metadata from the output file. Here is the output of a few commands. I am going nuts. I think this should work, but why is it not ?

    Command to edit the creation time :

    ffmpeg -i VID_20130502_220104.avi -metadata creation_time="2013-05-02 22:01:04" -codec copy VID_20130502_220104-2.avi

    ffmpeg version 3.1.5 Copyright (c) 2000-2016 the FFmpeg developers
     built with gcc 5.4.0 (GCC)
     configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-dxva2 --enable-libmfx --enable-nvenc --enable-avisynth --enable-bzlib --enable-libebur128 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libfreetype --enable-libgme --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg --enable-lzma --enable-decklink --enable-zlib
     libavutil      55. 28.100 / 55. 28.100
     libavcodec     57. 48.101 / 57. 48.101
     libavformat    57. 41.100 / 57. 41.100
     libavdevice    57.  0.101 / 57.  0.101
     libavfilter     6. 47.100 /  6. 47.100
     libswscale      4.  1.100 /  4.  1.100
     libswresample   2.  1.100 /  2.  1.100
     libpostproc    54.  0.100 / 54.  0.100
    Guessed Channel Layout for Input Stream #0.1 : mono
    Input #0, avi, from 'VID_20130502_220104.avi':
     Metadata:
       encoder         :
       maker           : NIKON
       model           : COOLPIX S4300
       creation_time   : 2011-01-01 00:00:00
     Duration: 00:01:30.50, start: 0.000000, bitrate: 32135 kb/s
       Stream #0:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj422p(pc, bt470bg/unknown/unknown), 1280x720, 31782 kb/s, 30 fps, 30 tbr, 30 tbn, 30 tbc
       Stream #0:1: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, 1 channels, s16, 352 kb/s
    [avi @ 000000000032ad40] Using AVStream.codec to pass codec parameters to muxers is deprecated, use AVStream.codecpar instead.
       Last message repeated 1 times
    Output #0, avi, to 'VID_20130502_220104-2.avi':
     Metadata:
       creation_time   : 2013-05-02 22:01:04
       maker           : NIKON
       model           : COOLPIX S4300
       ISFT            : Lavf57.41.100
       Stream #0:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj422p(pc, bt470bg/unknown/unknown), 1280x720, q=2-31, 31782 kb/s, 30 fps, 30 tbr, 30 tbn, 30 tbc
       Stream #0:1: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, mono, 352 kb/s
    Stream mapping:
     Stream #0:0 -> #0:0 (copy)
     Stream #0:1 -> #0:1 (copy)
    Press [q] to stop, [?] for help
    frame=  891 fps=0.0 q=-1.0 size=  116171kB time=00:00:29.69 bitrate=32043.1kbits/s speed=59.4x    
    frame= 1739 fps=1739 q=-1.0 size=  227191kB time=00:00:57.96 bitrate=32107.5kbits/s speed=  58x    
    frame= 2609 fps=1739 q=-1.0 size=  340940kB time=00:01:26.96 bitrate=32115.9kbits/s speed=  58x    
    frame= 2715 fps=1734 q=-1.0 Lsize=  355018kB time=00:01:30.49 bitrate=32136.3kbits/s speed=57.8x    
    video:350984kB audio:3897kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.038597%

    Command to inspect the output file metadata with ffmpeg :

    ffmpeg -i VID_20130502_220104-2.avi

    ffmpeg version 3.1.5 Copyright (c) 2000-2016 the FFmpeg developers
     built with gcc 5.4.0 (GCC)
     configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-dxva2 --enable-libmfx --enable-nvenc --enable-avisynth --enable-bzlib --enable-libebur128 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libfreetype --enable-libgme --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg --enable-lzma --enable-decklink --enable-zlib
     libavutil      55. 28.100 / 55. 28.100
     libavcodec     57. 48.101 / 57. 48.101
     libavformat    57. 41.100 / 57. 41.100
     libavdevice    57.  0.101 / 57.  0.101
     libavfilter     6. 47.100 /  6. 47.100
     libswscale      4.  1.100 /  4.  1.100
     libswresample   2.  1.100 /  2.  1.100
     libpostproc    54.  0.100 / 54.  0.100
    Guessed Channel Layout for Input Stream #0.1 : mono
    Input #0, avi, from 'VID_20130502_220104-2.avi':
     Metadata:
       encoder         : Lavf57.41.100
     Duration: 00:01:30.50, start: 0.000000, bitrate: 32136 kb/s
       Stream #0:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj422p(pc, bt470bg/unknown/unknown), 1280x720, 31782 kb/s, 30 fps, 30 tbr, 30 tbn, 30 tbc
       Stream #0:1: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 22050 Hz, 1 channels, s16, 352 kb/s
    At least one output file must be specified

    Command to inspect the input file metadata with exiftool :

    exiftool.exe VID_20130502_220104.avi

    ExifTool Version Number         : 10.30
    File Name                       : VID_20130502_220104.avi
    Directory                       : .
    File Size                       : 347 MB
    File Modification Date/Time     : 2013:05:13 16:33:52-04:00
    File Access Date/Time           : 2015:11:10 23:08:25-05:00
    File Creation Date/Time         : 2015:11:10 23:08:25-05:00
    File Permissions                : rw-rw-rw-
    File Type                       : AVI
    File Type Extension             : avi
    MIME Type                       : video/x-msvideo
    Frame Rate                      : 30
    Max Data Rate                   : 488.3 kB/s
    Frame Count                     : 2715
    Stream Count                    : 2
    Stream Type                     : Video
    Video Codec                     : mjpg
    Video Frame Rate                : 30
    Video Frame Count               : 2715
    Quality                         : 10000
    Sample Size                     : Variable
    Image Width                     : 1280
    Image Height                    : 720
    Planes                          : 1
    Bit Depth                       : 24
    Compression                     : MJPG
    Image Length                    : 2764800
    Pixels Per Meter X              : 0
    Pixels Per Meter Y              : 0
    Num Colors                      : Use BitDepth
    Num Important Colors            : All
    Audio Codec                     :
    Audio Sample Rate               : 22050
    Audio Sample Count              : 1995256
    Encoding                        : Microsoft PCM
    Num Channels                    : 1
    Sample Rate                     : 22050
    Avg Bytes Per Sec               : 44100
    Bits Per Sample                 : 16
    Maker Note Type                 : NIKON
    Maker Note Version              : 0.1.0.0
    Make                            : NIKON
    Model                           : COOLPIX S4300
    Software                        : V1.0
    Equipment                       : NIKON DIGITAL CAMERA
    Orientation                     : Horizontal (normal)
    Exposure Time                   : 1/15
    F Number                        : 3.5
    Exposure Compensation           : 0
    Max Aperture Value              : 3.2
    Metering Mode                   : Multi-segment
    Focal Length                    : 4.6 mm
    X Resolution                    : 72
    Y Resolution                    : 72
    Resolution Unit                 : inches
    Date/Time Original              : 2011:01:01 00:00:00
    Create Date                     : 2011:01:01 00:00:00
    Focus Mode                      : AF-S
    Digital Zoom                    : 1
    Color Mode                      : COLOR
    Sharpness                       : AUTO
    White Balance                   : NORMAL
    Noise Reduction                 : OFF
    Thumbnail Image                 : (Binary data 3082 bytes, use -b option to extract)
    Aperture                        : 3.5
    Duration                        : 0:01:30
    Image Size                      : 1280x720
    Megapixels                      : 0.922
    Shutter Speed                   : 1/15
    Focal Length                    : 4.6 mm

    Command to inspect the output file metadata with exiftool :

    exiftool.exe VID_20130502_220104-2.avi

    ExifTool Version Number         : 10.30
    File Name                       : VID_20130502_220104-2.avi
    Directory                       : .
    File Size                       : 347 MB
    File Modification Date/Time     : 2016:11:01 00:17:38-04:00
    File Access Date/Time           : 2016:11:01 00:17:36-04:00
    File Creation Date/Time         : 2016:11:01 00:15:18-04:00
    File Permissions                : rw-rw-rw-
    File Type                       : AVI
    File Type Extension             : avi
    MIME Type                       : video/x-msvideo
    Frame Rate                      : 30
    Max Data Rate                   : 3923 kB/s
    Frame Count                     : 2715
    Stream Count                    : 2
    Stream Type                     : Video
    Video Codec                     : MJPG
    Video Frame Rate                : 30
    Video Frame Count               : 2715
    Quality                         : Default
    Sample Size                     : Variable
    Image Width                     : 1280
    Image Height                    : 720
    Planes                          : 1
    Bit Depth                       : 24
    Compression                     : MJPG
    Image Length                    : 2764800
    Pixels Per Meter X              : 0
    Pixels Per Meter Y              : 0
    Num Colors                      : Use BitDepth
    Num Important Colors            : All
    Audio Codec                     : .
    Audio Sample Rate               : 22050
    Audio Sample Count              : 1995256
    Encoding                        : Microsoft PCM
    Num Channels                    : 1
    Sample Rate                     : 22050
    Avg Bytes Per Sec               : 44100
    Bits Per Sample                 : 16
    Software                        : Lavf57.41.100
    Duration                        : 0:01:30
    Image Size                      : 1280x720
    Megapixels                      : 0.922
  • How to obtain time markers for video splitting using python/OpenCV

    30 mars 2016, par Bleddyn Raw-Rees

    Hi I’m new to the world of programming and computer vision so please bare with me.

    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()

    Thanks !