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GetID3 - Bloc informations de fichiers
9 avril 2013, par
Mis à jour : Mai 2013
Langue : français
Type : Image
Autres articles (35)
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ANNEXE : Les extensions, plugins SPIP des canaux
11 février 2010, parUn plugin est un ajout fonctionnel au noyau principal de SPIP. MediaSPIP consiste en un choix délibéré de plugins existant ou pas auparavant dans la communauté SPIP, qui ont pour certains nécessité soit leur création de A à Z, soit des ajouts de fonctionnalités.
Les extensions que MediaSPIP nécessite pour fonctionner
Depuis la version 2.1.0, SPIP permet d’ajouter des plugins dans le répertoire extensions/.
Les "extensions" ne sont ni plus ni moins que des plugins dont la particularité est qu’ils se (...) -
Submit bugs and patches
13 avril 2011Unfortunately a software is never perfect.
If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
You may also (...) -
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 (...)
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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
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Revision 9d771f948f : Merge "Motion vectors code cleanup." into experimental
27 février 2013, par Dmitry KovalevMerge "Motion vectors code cleanup." into experimental
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lavf/concatdec : define "ffcat" and "ffconcat" extensions
21 février 2013, par Stefano Sabatinilavf/concatdec : define "ffcat" and "ffconcat" extensions