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Valkaama DVD Cover Outside
4 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Image
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Valkaama DVD Label
4 octobre 2011, par
Mis à jour : Février 2013
Langue : English
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Valkaama DVD Cover Inside
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Mis à jour : Octobre 2011
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Autres articles (45)
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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 -
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...) -
Support audio et vidéo HTML5
10 avril 2011MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...)
Sur d’autres sites (10757)
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Implementing Live Streaming Webinar Architecture - Need Guidance
21 septembre 2023, par vishnugplQuestion : I'm working on a project to implement a live streaming webinar platform, and I'm looking for guidance on the architecture and technologies to use. I have some specific requirements and constraints, and I'd appreciate any advice or pointers on how to get started.


Context :
I'm tasked with building a live streaming webinar platform from scratch for our organization. Here are some key requirements and constraints :


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Live Video Streaming : We need to support live video streaming for
webinars, workshops, and conferences. Low latency is crucial for
real-time interaction between presenters and attendees.


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Scalability : The platform should be able to handle a large number of concurrent attendees, potentially thousands or more,
without compromising performance.


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Security : Security is a top priority. We need to ensure that only authorized users can access the webinars, and we must protect
against unauthorized recording or distribution of the content.


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User Interaction : Attendees should be able to ask questions, participate in polls, and interact with presenters in real-time.


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Recording and Playback : We also want to provide recorded versions of past webinars for on-demand viewing (HLS).














Current Tech Stack :


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- Frontend : React
- Backend : Node.js with Express
- Database : MongoDB
- Cloud Hosting : AWS










Questions :


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What technologies or services are best suited for handling live video streaming with low latency ?


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How can I ensure scalability in terms of both video streaming and handling a large number of users ?


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What security measures should I consider to protect the content and user data ?


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Are there any recommended frameworks or libraries for building interactive features like real-time chat and polling ?


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What's the best approach for recording and serving on-demand webinar content ?














Additional Information :


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Budget is a consideration, so cost-effective solutions are preferred.


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Any open-source or third-party tools that can simplify development are welcome.


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I have experience with AWS, but I'm open to other cloud providers if they offer advantages for this project.










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How to convert natural language to structural description like FFmpeg filter graph strings
11 juillet 2022, par 张无敌I'm working on a program that takes natural language as input, and outputs valid FFmpeg filter graph description, for example :


Input string :


rotate 1.mp4 90deg clockwise, downscale to 480p, output 2.mpeg



Output description :


rotate=a=90,scale=640*480



It seems impractical with complete natural language, especially in the case of complex filter graphs, but still doable with slightly formatted input.


I am new to NLP, wondering which areas or methods could help implement this.


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Revision 8f83c132ff : New way of updating last frame segmentation map. Implementing more natural (and
27 septembre 2013, par Dmitry KovalevChanged Paths :
Modify /vp9/decoder/vp9_decodemv.c
Modify /vp9/decoder/vp9_decodframe.c
New way of updating last frame segmentation map.Implementing more natural (and faster) way of updating last frame
segmentation map.Change-Id : I9fefa8f78e77bd7948133b04173da45edc15a17e