
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 (15141)
-
fftools/cmdutils : tighten condition for media type stream specifiers
8 août 2024, par Anton Khirnov -
Seeking while Transcoding videos from Windows Media Player
3 juillet 2015, par prakharsingh95I am using Windows Media Player’s default DLNA server and the streaming is great.
However, when I try to stream AC3 to VLC for iOS, on iPad Air 2, it converts it to a large number of available formats :
If I try AVC_MP4_BL_L31_HD_AAC, this provides the untranscoded media, which I can stream and SEEK. However, AC3 is not playable.
However, AVC_MP4_MP_HD_720p_AAC is transcoded by Windows Media Player on the fly, but is NOT SEEKABLE.
How do I add support for seeking transcoded media from Windows Media Player ?
I can convert using ffmpeg, but I would prefer the above solution.
-
Extracting media duration in R
27 septembre 2015, par Jason FrenchI’m investigating the fastest way to extract film duration in R using
ffprobe
and thedata.table
package.Setup Example Source Media
wget https://ia801403.us.archive.org/13/items/AboutBan1935/AboutBan1935_512kb.mp4
mv AboutBan1935_512kb.mp4 one.mp4
for file in two.mp4 three.mp4 four.mp4 five.mp4 ; do cp one.mp4 "$file" ; doneVarious Approaches
library(data.table)
library(parallel)
# Get locations
executables <- Sys.which(c('ffprobe', 'ffmpeg'))
# Duration Function
get_duration_parallel <- function(files){
mclapply(X = files, FUN = function(file){
ffprobe_duration <- paste(executables['ffprobe'],
" -v quiet -print_format compact=print_section=0:nokey=1:escape=csv -show_entries format=duration ",
'"', file, '"', sep = "")
file_duration <- as.numeric(system(command = ffprobe_duration, intern = TRUE))
return(file_duration)
}, mc.cores = detectCores())
}
get_duration <- function(files){
sapply(X = files, FUN = function(file){
ffprobe_duration <- paste(executables['ffprobe'],
" -v quiet -print_format compact=print_section=0:nokey=1:escape=csv -show_entries format=duration ",
'"', file, '"', sep = "")
file_duration <- as.numeric(system(command = ffprobe_duration, intern = TRUE))
return(file_duration)
})
}
# Example table
dt <- data.table(Path = list.files(path = ".", pattern = "*.mp4$"))
system.time(
dt[, Seconds := get_duration_parallel(Path)]
)
# 9.667 seconds
system.time(
dt[, Seconds := get_duration(Path)]
)
# 0.078 secondsAm I missing any obvious speed-ups ? Scanning a 500-file archive for ffprobe stats takes 5 minutes in testing.