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Autres articles (30)
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HTML5 audio and video support
13 avril 2011, parMediaSPIP 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 (...) -
De l’upload à la vidéo finale [version standalone]
31 janvier 2010, parLe 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 (...) -
Support audio et vidéo HTML5
10 avril 2011MediaSPIP 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 (...)
Sur d’autres sites (5352)
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Revision 1790d45252 : Use variance metric for integral projection vector match This commit replaces t
27 février 2015, par Jingning HanChanged Paths :
Modify /vp9/common/vp9_rtcd_defs.pl
Modify /vp9/encoder/vp9_avg.c
Modify /vp9/encoder/vp9_encodeframe.c
Modify /vp9/encoder/vp9_pickmode.c
Modify /vp9/encoder/x86/vp9_avg_intrin_sse2.c
Use variance metric for integral projection vector matchThis commit replaces the SAD with variance as metric for the
integral projection vector match. It improves the search accuracy
in the presence of slight light change. The average speed -6
compression performance for rtc set is improved by 1.7%. No speed
changes are observed for the test clips.Change-Id : I71c1d27e42de2aa429fb3564e6549bba1c7d6d4d
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Read a growing MFX file for live streaming sports match file [closed]
12 novembre 2024, par Sumit ChaudharyI'm struggling to read a growing MXF file in real time for a live sports streaming project in python. I can read the video in 5-minute chunks provided by the recording software, for the same match and I’m able to load the full file (around 750GB) once the match is over and file is complete. However, I need to process the file as it’s still growing. Any suggestions on how to approach this ?


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How to accurately match an image to a video frame and exit with ffmpeg
10 avril 2020, par Hans JIn Bash,
I am trying to match an image to a frame in ffmpeg. I also want to exit the ffmpeg process when the match is found. Here is a (simplified version) of the code currently :



ffmpeg --hide_banner -ss 0 -to 60 \
-i "video.mp4" -i "image.jpg" -filter_complex \
"blend=difference, blackframe" -f null - null 2>log.txt &
pid=$!
trap "kill $pid 2>/dev/null" EXIT
while kill -0 $pid 2>/dev/null; do
 # (grep command to monitor log file)
 # if grep finds blackframe match, return blackframe time
done




To my understanding, if the video actually contains a blackframe I will get a false-positive. How can I effectively mitigate this ?



While this is unnecessary to answer the question, I would like to exit the ffmpeg process without having to use grep to constantly monitor the log file, instead using pure ffmpeg



Edit : I say this because while I understand the blend filter is computing the difference, I am getting a false positive on a blackframe in my video and I don't know why.



Edit : A possible solution to this issue is to not use blackframe at all, but psnr (Peak Signal to Noise Ratio) but normal usage is by comparing two videos frame by frame, and I don't know how to effectively use it with an image as input.