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Médias (1)
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Video d’abeille en portrait
14 mai 2011, par
Mis à jour : Février 2012
Langue : français
Type : Video
Autres articles (80)
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Le profil des utilisateurs
12 avril 2011, parChaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...) -
Configurer la prise en compte des langues
15 novembre 2010, parAccéder à la configuration et ajouter des langues prises en compte
Afin de configurer la prise en compte de nouvelles langues, il est nécessaire de se rendre dans la partie "Administrer" du site.
De là, dans le menu de navigation, vous pouvez accéder à une partie "Gestion des langues" permettant d’activer la prise en compte de nouvelles langues.
Chaque nouvelle langue ajoutée reste désactivable tant qu’aucun objet n’est créé dans cette langue. Dans ce cas, elle devient grisée dans la configuration et (...) -
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs
Sur d’autres sites (11398)
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FFMpeg video clipping
8 mars 2012, par integra753I would like to use the ffmpeg apis (not the command line) for clipping videos to a specific size (e.g say 1hr video, create a new video starting at 10 minutes and ending at 30 minutes). Are there any examples of doing this out there ?
I have used the apis to stream and record video so I have a bit of background knowledge.
Thanks.
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How to create a video from png images using ffmpeg
28 décembre 2011, par RajatI want to create a video from different png images. My code is :
ffmpeg -r 20 -f image2 -i slideshow/%d.png -y -s 320x240 -aspect 4:3 out.mp4
and i receive output :
FFmpeg version SVN-r26400, Copyright (c) 2000-2011 the FFmpeg developers
built on Sep 27 2011 00:47:07 with gcc 4.1.2 20080704 (Red Hat 4.1.2-50)
configuration: --enable-avfilter --enable-filter=fade
libavutil 50.36. 0 / 50.36. 0
libavcore 0.16. 1 / 0.16. 1
libavcodec 52.108. 0 / 52.108. 0
libavformat 52.93. 0 / 52.93. 0
libavdevice 52. 2. 3 / 52. 2. 3
libavfilter 1.74. 0 / 1.74. 0
libswscale 0.12. 0 / 0.12. 0
Input #0, image2, from 'slideshow/%d.png':
Duration: 00:00:00.25, start: 0.000000, bitrate: N/A
Stream #0.0: Video: png, rgb24, 720x471, 20 fps, 20 tbr, 20 tbn, 20 tbc
[buffer @ 0x9687230] w:720 h:471 pixfmt:rgb24
[scale @ 0x9687600] w:720 h:471 fmt:rgb24 -> w:320 h:240 fmt:yuv420p flags:0xa0000004
Output #0, mp4, to 'out.mp4':
Metadata:
encoder : Lavf52.93.0
Stream #0.0: Video: mpeg4, yuv420p, 320x240 [PAR 1:1 DAR 4:3], q=2-31, 200 kb/s, 20 tbn, 20 tbc
Stream mapping:
Stream #0.0 -> #0.0
Press [q] to stop encoding
Segmentation faultWhat might be the problem ? Please help...
Currently i am using centos 5 server. -
Recommendations for real-time pixel-level analysis of television (TV) video
6 décembre 2011, par Randall Cook[Note : This is a rewrite of an earlier question that was considered inappropriate and closed.]
I need to do some pixel-level analysis of television (TV) video. The exact nature of this analysis is not pertinent, but it basically involves looking at every pixel of every frame of TV video, starting from an MPEG-2 transport stream. The host platform will be server-class, multiprocessor 64-bit Linux machines.
I need a library that can handle the decoding of the transport stream and present me with the image data in real-time. OpenCV and ffmpeg are two libraries that I am considering for this work. OpenCV is appealing because I have heard it has easy to use APIs and rich image analysis support, but I have no experience using it. I have used ffmpeg in the past for extracting video frame data from files for analysis, but it lacks image analysis support (though Intel's IPP can supplement).
In addition to general recommendations for approaches to this problem (excluding the actual image analysis), I have some more specific questions that would help me get started :
- Are ffmpeg or OpenCV commonly used in industry as a foundation for real-time
video analysis, or is there something else I should be looking at ? - Can OpenCV decode video frames in real time, and still leave enough
CPU left over to do nontrivial image analysis, also in real-time ? - Is sufficient to use ffpmeg for MPEG-2 transport stream decoding, or
is it preferable to just use an MPEG-2 decoding library directly (and if so, which one) ? - Are there particular pixel formats for the output frames that ffmpeg
or OpenCV is particularly efficient at producing (like RGB, YUV, or YUV422, etc) ?
- Are ffmpeg or OpenCV commonly used in industry as a foundation for real-time