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Médias (91)
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Head down (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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Echoplex (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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Discipline (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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Letting you (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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1 000 000 (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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999 999 (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
Autres articles (35)
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Support de tous types de médias
10 avril 2011Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...) ; audio (MP3, Ogg, Wav et autres...) ; vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...) ; contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google Earth) (...)
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Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
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Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP 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 (...)
Sur d’autres sites (4241)
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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