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MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir
Sur d’autres sites (4457)
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Why JPEG compressing an uncompressed image differs its original (FFmpeg, NvJPEG, ...)
22 juin 2021, par FruchtzwergI am currently struggling to understand why recompressing an uncompressed JPEG image differs its original.


It's clear, that JPEG is a lossy compression, but what if the image to compress is already uncompressed, which means all sampling losses are already included ? In other words : Downsampling and DCT should be inversable at this point without loosing data.




To make sure losses are not effected by the color space conversion, this step is skipped and YUV images are used.


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- Compress YUV image to JPEG (image.yuv —> image.yuv.jpg)
- Uncompress JPEG image to YUV image (image.yuv.jpg —> image.yuv.jpg.yuv)
- Compress YUV image to JPEG (image.yuv.jpg.yuv —> image.yuv.jpg.yuv.jpg)
- Uncompress JPEG image to YUV image (image.yuv.jpg.yuv.jpg —> image.yuv.jpg.yuv.jpg.yuv)










Step 1 includes a lossy compression, so we will not deal with this step anymore. For me, intresting is what happens afterwards :


Uncompressing the JPEG image back to YUV (step 2) leads to an image which perfectly fits all sampling steps if compressed again (step 3). So the JPEG image after step 3 should (from my understanding) be exactly the same as after step 1. Also the YUV images after step 4 and step 2 should equal each other.


Looking at the steps for one 8x8 block the following simplified sequence should illustrate what I am trying to descibe. Lets start with the original YUV image, which can only be decompressed loosing all decimal places :


[ 1.123, 2.345, 3.456, ... ] (YUV)
 DTC + Quantization
[ -26, -3, -6, ... ] (Quantized frequency space)
 Inverse DTC + Quantization
[ 1, 2, 3, ... ] (YUV)



Doing this with input, which already matches all steps, which may lead to loss of data afterwards (using round numbers in my example), the decompressed image should match its original :


[ 1, 2, 3, ... ] (YUV)
 DTC + Quantization
[ -26, -3, -6, ... ] (Quantized frequency space)
 Inverse DTC + Quantization
[ 1, 2, 3, ... ] (YUV)



There are also some sources and discussions, which are confirming my idea :


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- need help creating Jpeg Generational Degradation code
- What factors cause or prevent “generational loss” when JPEGs are recompressed multiple times ?
- Lossless Chroma Subampling








So much for theory. In praxis, I've runned these steps using ffmpeg and Nvidias jpeg samples (using NvJPEGEncoder).


ffmpeg :


#Create YUV image
ffmpeg -y -i image.jpg -s 1920x1080 -pix_fmt yuv420p image.yuv
#YUV to JPEG
ffmpeg -y -s 1920x1080 -pix_fmt yuv420p -i image.yuv image.yuv.jpg
#JPEG TO YUV
ffmpeg -y -i image.yuv.jpg -s 1920x1080 -pix_fmt yuv420p image.yuv.jpg.yuv
#YUV to JPEG
ffmpeg -y -s 1920x1080 -pix_fmt yuv420p -i image.yuv.jpg.yuv image.yuv.jpg.yuv.jpg
#JPEG TO YUV
ffmpeg -y -i image.yuv.jpg.yuv.jpg -s 1920x1080 -pix_fmt yuv420p image.yuv.jpg.yuv.jpg.yuv
#YUV to JPEG
ffmpeg -y -s 1920x1080 -pix_fmt yuv420p -i image.yuv.jpg.yuv.jpg.yuv image.yuv.jpg.yuv.jpg.yuv.jpg



Nvidia :


#Create YUV image
./jpeg_decode num_files 1 image.jpg image.yuv
#YUV to JPEG
./jpeg_encode image.yuv 1920 1080 image.yuv.jpg
#JPEG TO YUV
./jpeg_decode num_files 1 image.yuv.jpg image.yuv.jpg.yuv
#YUV to JPEG
./jpeg_encode image.yuv.jpg.yuv 1920 1080 image.yuv.jpg.yuv.jpg
#JPEG TO YUV
./jpeg_decode num_files 1 image.yuv.jpg.yuv.jpg image.yuv.jpg.yuv.jpg.yuv
#YUV to JPEG
./jpeg_encode image.yuv.jpg.yuv.jpg.yuv 1920 1080 image.yuv.jpg.yuv.jpg.yuv.jpg



But a comparison of the images


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- image.yuv.jpg.yuv and image.yuv.jpg.yuv.jpg.yuv
- image.yuv.jpg.yuv.jpg and image.yuv.jpg.yuv.jpg.yuv.jpg






showing differences in the files. That brings me to my question why and where the difference gets happen, since from my understanding the files should be equal.


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avcodec/frame_thread_encoder : Avoid allocations of AVPackets, fix deadlock
7 février 2021, par Andreas Rheinhardtavcodec/frame_thread_encoder : Avoid allocations of AVPackets, fix deadlock
Up until now, when doing frame thread encoding, each worker thread
tried to allocate an AVPacket for every AVFrame to be encoded ; said
packets would then be handed back to the main thread, where the content
of said packet is copied into the packet actually destined for output ;
the temporary AVPacket is then freed.Besides being wasteful this also has another problem : There is a risk of
deadlock, namely if no AVPacket can be allocated at all. The user
doesn't get an error at all in this case and the worker threads will
simply try to allocate a packet again and again. If the user has
supplied enough frames, the user's thread will block until a task has
been completed, which just doesn't happen if no packet can ever be
allocated.This patch instead modifies the code to allocate the packets during
init ; they are then reused again and again.Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
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avfilter/delogo : Fix show option when band is small
28 septembre 2015, par Jean Delvareavfilter/delogo : Fix show option when band is small
The code assumed that the outermost interpolated pixels were always in
the fuzzy area defined by the band option. However if the band value
is small, there may be no fuzzy area on a given plane. In that case,
option show did not work, no rectangle was drawn (or only on the luma
plane, depending on the band value and chroma plane subsampling
factors.)Fix the problem by not making any assumption on where the outermost
interpolated pixels will be.The new code was verified to produce the same result as the original
code when the band value is not small.Signed-off-by : Jean Delvare <jdelvare@suse.de>
Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>