
Recherche avancée
Autres articles (108)
-
Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
-
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 -
Contribute to a better visual interface
13 avril 2011MediaSPIP is based on a system of themes and templates. Templates define the placement of information on the page, and can be adapted to a wide range of uses. Themes define the overall graphic appearance of the site.
Anyone can submit a new graphic theme or template and make it available to the MediaSPIP community.
Sur d’autres sites (15609)
-
Resize video using FFmpeg C API
28 février 2012, par cr_azI am trying to resize video file on Android device using FFmpeg. Remark : I cant use FFmpeg as binary - in my case it should be used as shared library (only FFmpeg C API is accessible).
I did not find any documentation regarding video resizing, however it looks like algorithm is following :
10 OPEN video_stream FROM video.mp4
20 READ packet FROM video_stream INTO frame
30 IF frame NOT COMPLETE GOTO 20
40 RESIZE frame
50 WRITE frame TO converted_video.mp4
60 GOTO 20Should I use sws_scale function in order to resize frame ? Is there any other (easier ?) way to resize video file using FFmpeg C API ?
-
EC2 for video-encoding
24 septembre 2012, par TK KocheranI have a potential job which will require me to do some video encoding with FFMPEG and x264. I'll have a series of files which I'll need to encode once, then I'll be able to bring down the instances. Since I'm not really sure of the resource utilization of x264 and FFMPEG, what kind of instances should I get ? I'm thinking either a
High-CPU Extra Large Instance
7 GB of memory
20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance : High
API name : c1.xlargeor, alternatively a
Cluster GPU Quadruple Extra Large Instance
22 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
2 x NVIDIA Tesla “Fermi” M2050 GPUs
1690 GB of instance storage
64-bit platform
I/O Performance : Very High (10 Gigabit Ethernet)
API name : cg1.4xlargeWhat should I use ? Does x264/FFMPEG perform better with faster/more CPUs or does it really pound the GPU more ? In any case, it seems that the Cluster GPU seems to be the higher performance instance. What should I prefer ?
-
EC2 for video-encoding
24 septembre 2012, par TK KocheranI have a potential job which will require me to do some video encoding with FFMPEG and x264. I'll have a series of files which I'll need to encode once, then I'll be able to bring down the instances. Since I'm not really sure of the resource utilization of x264 and FFMPEG, what kind of instances should I get ? I'm thinking either a
High-CPU Extra Large Instance
7 GB of memory
20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance : High
API name : c1.xlargeor, alternatively a
Cluster GPU Quadruple Extra Large Instance
22 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
2 x NVIDIA Tesla “Fermi” M2050 GPUs
1690 GB of instance storage
64-bit platform
I/O Performance : Very High (10 Gigabit Ethernet)
API name : cg1.4xlargeWhat should I use ? Does x264/FFMPEG perform better with faster/more CPUs or does it really pound the GPU more ? In any case, it seems that the Cluster GPU seems to be the higher performance instance. What should I prefer ?