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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
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Carte de Schillerkiez
13 mai 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Texte
Autres articles (69)
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Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.
Sur d’autres sites (10154)
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FFmpeg can 'encode' to mp3, but will not accept an 'input' mp3
21 novembre 2011, par Jonathan CoeFYI : Fedora 8 running on Amazon EC2...
Having a difficult time with FFmpeg doing a (what should be pretty simple) conversion. I can get FFmpeg to encode an mp3 file from an m4a file using the following :
ffmpeg -i file1.m4a -acodec libmp3lame -ab 160k file2.mp3
However, I cannot get it to to convert an mp3 -> mp3, it responds with "Unknown Format" using the following :
ffmpeg -i file1.mp3 -acodec libmp3lame -ab 160k file2.mp3
I get the following command string :
FFmpeg version UNKNOWN, Copyright (c) 2000-2008 Fabrice Bellard, et al.
configuration: --prefix=/usr --libdir=/usr/lib --shlibdir=/usr/lib --mandir=/usr/share/man --incdir=/usr/include/ffmpeg --enable-libmp3lame --enable-libvorbis --enable-libtheora --enable-libfaad --enable-libfaac --enable-libgsm --enable-libxvid --enable-libx264 --enable-liba52 --enable-liba52bin --enable-pp --enable-shared --enable-pthreads --enable-gpl --disable-strip
libavutil version: 49.6.0
libavcodec version: 51.50.1
libavformat version: 52.7.0
libavdevice version: 52.0.0
built on Feb 14 2008 17:47:08, gcc: 4.1.2 20070925 (Red Hat 4.1.2-33)
file1.mp3: Unknown formatAny help would be hugely appreciated !
Edit for clarity :
The input file is in /ebs/queue/input.mp3 and the output is /ebs/converted/output.mp3 -
Understanding a script which uses ffmpeg to send rtmp input to node.js script
4 juin 2022, par Arpit ShuklaI was trying to understand this shell script which uses ffmpeg to take an rtmp input stream and send it to a node.js script. But I am having trouble understanding the syntax. What is going on here ?


The script :


while :
do
 echo "Loop start"

 feed_time=$(ffprobe -v error -show_entries format=start_time -of default=noprint_wrappers=1:nokey=1 $RTMP_INPUT)
 printf "feed_time value: ${feed_time}"

 if [ ! -z "${feed_time}" ]
 then
 ffmpeg -i $RTMP_INPUT -tune zerolatency -muxdelay 0 -af "afftdn=nf=-20, highpass=f=200, lowpass=f=3000" -vn -sn -dn -f wav -ar 16000 -ac 1 - 2>/dev/null | node src/transcribe.js $feed_time

 else
 echo "FFprobe returned null as a feed time."
 
 fi

 echo "Loop finish"
 sleep 3
done



- 

- What is
feed_time
here ? What does it represent ? - What is this portion doing
- 2>/dev/null | node src/transcribe.js $feed_time
? - What is the use of
sleep 3
? Does this mean that we are sending audio stream to node.js in chuncks of 3 seconds ?








- What is
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Overthinking My Search Engine Problem
31 décembre 2013, par Multimedia Mike — GeneralI wrote a search engine for my Game Music Appreciation website, because the site would have been significantly less valuable without it (and I would eventually realize that the search feature is probably the most valuable part of this endeavor). I came up with a search solution that was a bit sketchy, but worked… until it didn’t. I thought of a fix but still searched for more robust and modern solutions (where ‘modern’ is defined as something that doesn’t require compiling a C program into a static CGI script and hoping that it works on a server I can’t debug on).
Finally, I realized that I was overthinking the problem– did you know that a bunch of relational database management systems (RDBMSs) support full text search (FTS) ? Okay, maybe you did, but I didn’t know this.
Problem Statement
My goal is to enable users to search the metadata (title, composer, copyright, other tags) attached to various games. To do this, I want to index a series of contrived documents that describe the metadata. 2 examples of these contrived documents, interesting because both of these games have very different titles depending on region, something the search engine needs to account for :system : Nintendo NES game : Snoopy’s Silly Sports Spectacular author : None ; copyright : 1988 Kemco ; dumped by : None additional tags : Donald Duck.nsf Donald Duck
system : Super Nintendo
game : Arcana
author : Jun Ishikawa, Hirokazu Ando ; copyright : 1992 HAL Laboratory ; dumped by : Datschge
additional tags : card.rsn.gamemusic Card Master CardmasterThe index needs to map these documents to various pieces of game music and the search solution needs to efficiently search these documents and find the various game music entries that match a user’s request.
Now that I’ve been looking at it for long enough, I’m able to express the problem surprisingly succinctly. If I had understood that much originally, this probably would have been simpler.
First Solution & Breakage
My original solution was based on SWISH-E. The CGI script was a C program that statically linked the SWISH-E library into a binary that miraculously ran on my web provider. At least, it ran until it decided to stop working a month ago when I added a new feature unrelated to search. It was a very bizarre problem, the details of which would probably bore you to tears. But if you care, the details are all there in the Stack Overflow question I asked on the matter.While no one could think of a direct answer to the problem, I eventually thought of a roundabout fix. The problem seemed to pertain to the static linking. Since I couldn’t count on the relevant SWISH-E library to be on my host’s system, I uploaded the shared library to the same directory as the CGI script and used dlopen()/dlsym() to fetch the functions I needed. It worked again, but I didn’t know for how long.
Searching For A Hosted Solution
I know that anything is possible in this day and age ; while my web host is fairly limited, there are lots of solutions for things like this and you can deploy any technology you want, and for reasonable prices. I figured that there must be a hosted solution out there.I have long wanted a compelling reason to really dive into Amazon Web Services (AWS) and this sounded like a good opportunity. After all, my script works well enough ; if I could just find a simple Linux box out there where I could install the SWISH-E library and compile the CGI script, I should be good to go. AWS has a free tier and I started investigating this approach. But it seems like a rabbit hole with a lot of moving pieces necessary for such a simple task.
I had heard that AWS had something in this area. Sure enough, it’s called CloudSearch. However, I’m somewhat discouraged by the fact that it would cost me around $75 per month to run the smallest type of search instance which is at the core of the service.
Finally, I came to another platform called Heroku. It’s supposed to be super-scalable while having a free tier for hobbyists. I started investigating FTS on Heroku and found this article which recommends using the FTS capabilities of their standard hosted PostgreSQL solution. However, the free tier of Postgres hosting only allows for 10,000 rows of data. Right now, my database has about 5400 rows. I expect it to easily overflow the 10,000 limit as soon as I incorporate the C64 SID music corpus.
However, this Postgres approach planted a seed.
RDBMS Revelation
I have 2 RDBMSs available on my hosting plan– MySQL and SQLite (the former is a separate service while SQLite is built into PHP). I quickly learned that both have FTS capabilities. Since I like using SQLite so much, I elected to leverage its FTS functionality. And it’s just this simple :CREATE VIRTUAL TABLE gamemusic_metadata_fts USING fts3 ( content TEXT, game_id INT, title TEXT ) ;
SELECT id, title FROM gamemusic_metadata_fts WHERE content MATCH "arcana" ;
479|ArcanaThe ‘content’ column gets the metadata pseudo-documents. The SQL gets wrapped up in a little PHP so that it queries this small database and turns the result into JSON. The script is then ready as a drop-in replacement for the previous script.