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Médias (10)
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Demon Seed
26 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Demon seed (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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The four of us are dying (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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Corona radiata (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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Lights in the sky (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
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Head down (wav version)
26 septembre 2011, par
Mis à jour : Avril 2013
Langue : English
Type : Audio
Autres articles (48)
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Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
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Ecrire une actualité
21 juin 2013, parPrésentez les changements dans votre MédiaSPIP ou les actualités de vos projets sur votre MédiaSPIP grâce à la rubrique actualités.
Dans le thème par défaut spipeo de MédiaSPIP, les actualités sont affichées en bas de la page principale sous les éditoriaux.
Vous pouvez personnaliser le formulaire de création d’une actualité.
Formulaire de création d’une actualité Dans le cas d’un document de type actualité, les champs proposés par défaut sont : Date de publication ( personnaliser la date de publication ) (...) -
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 (8371)
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how to convert any audio file to wav on server side with node.js [on hold]
9 juin 2014, par pufmaigremy dear stackoverflow
I spent hours looking for an efficient and pretty way to transcode audio on server side, and I found a lot of informations... actually too much informations.
Sox for Node.js looks fine but there are not so much documentation, I was unable to convert a mp3 to wav with it :
https://www.npmjs.org/package/sox
Then fluent ffmpeg sounds good but I have the feeling I will loose a lot of time to achieve my goal with it :
https://github.com/fluent-ffmpeg/node-fluent-ffmpeg
and then i found some more obscure stuff like those ones :
https://github.com/andrewrk/node-plan-transcode
https://github.com/benvanik/node-transcoding
I’m not sure it’s really the "stackoverflow spirit" but I’m asking you wich way would you choose to achieve my goal because I’m feeling lost in the codec jungle.
thanks in advance !! love :)
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Announcing Piwik Community Meetup in Munich : Register now !
5 mai 2014, par Piwik Core TeamWe’re excited to announce our second Piwik community Meetup ! This will be a unique opportunity to connect with other Piwik users, and meet the core team behind Piwik.
Updated : presentation slides
The Making Of The Analytics Platform Of The Future
Piwik in Enterprise
Piwik Analytics Platform
Guest lecture : TV to Web Analytics
Guest lecture : Oxid analytics with Piwik
When and where is the meetup ? (update, see below)
Location : Munich, Germany
Date : Tuesday July 29th 2014
Time : 5PM
Language : German/English
Cost : Free !Who can join ?
All Piwik community members (users, translators, contributors) are warmly invited to join the meetup. Almost all of the core team will be present, we’re looking forward to meeting you !
What to expect for the Piwik meetup ?
The meetup will consist of three speakers giving quick 15-20 minute presentations followed by Q&A.
- Discover some of the upcoming features
- Learn tricks to make the most out of Piwik
- Networking and socialising… and an after party in a local bar to continue the discussion !
Who can join the meetup ?
This meetup is open to all Piwik users and members of the community.
- If you are using Piwik to improve your websites and apps, or generally curious about digital analytics and marketing
- If you are interested in the platform, integrating your app with Piwik or building plugins, come meet with other developers and creators of Piwik
Timing
- Doors open at 17:00
- Starts at 17:30
- Ends at 20:00 – 20:30
Schedule
- 17:30 – Welcome speech (Peter Boehlke (german))
- 17:40 – Piwik for governments & corporations – Piwik PRO case study (Maciej Zawadziński english)
- 18:05 – Break (25 minutes) – Coffee, Tea, pastries and cold buffet (free)
- 18:30 – Overview of the platform Piwik, custom data tracking, publishing on the new Marketplace (Thomas Steur (german))
- 18:55 – Break (10 minutes)
- 19:05 – Piwik users present interesting real world use cases (german)
– TV-to-Web analytics (Jasper Sasse)
– Piwik from a SEO’s perspective (Thomas Zeithaml)
– Using the Piwik Framework to analyze Shop-Data (Joachim Barthel) - 19:30 – Break (10 minutes)
- 19:40 – Next big features, milestones, future roadmap (Matthieu Aubry english)
- 20:05 – Break (5 minutes)
- 20:10 – Summary & end of the conference (german)
- After party at a nearby bar or restaurant (open end)
Call for Papers
We would like to hear about how you use Piwik ! If you’d like to present your interesting use case on the conference (speaking time 5 to 7 minutes), please contact us at hello@piwik.org !
Meetup location
Munich Workstyle
Landwehrstraße 61
80336 München
Location / DirectionsParking space is limited : We recommend to use public transport !
Stations nearby :
S-Bahn : Hauptbahnhof, Stachus (both 700m)
U-Bahn : Stachus (700m), Theresienwiese (400m)
Beverage pricing
Mineral water : EUR 3,10 (0,75l)
Softdrinks / juices : EUR 2,10
Beer : EUR 2,80
A special thank you to our sponsor Mayflower GmbH !
Register now
Seats are limited, please register today to secure your seat :
Register now ! -
Convert MPEG4/H264 I-Frame (IDR) from RTP stream to JPG ? [on hold]
10 mars 2017, par ioan ghipI’m playing around with MPEG4/H264 received over RTP and I can successfully detect and receive I-Frames. My plan is to convert the I-Frames to JPG and show them on the screen (ultimately I want to implement basic rtp support for Roku player).
Where do I start ? Any code examples or algorithm description on how to convert the the video frames to an image ?