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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (40)
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(Dés)Activation de fonctionnalités (plugins)
18 février 2011, parPour gérer l’ajout et la suppression de fonctionnalités supplémentaires (ou plugins), MediaSPIP utilise à partir de la version 0.2 SVP.
SVP permet l’activation facile de plugins depuis l’espace de configuration de MediaSPIP.
Pour y accéder, il suffit de se rendre dans l’espace de configuration puis de se rendre sur la page "Gestion des plugins".
MediaSPIP est fourni par défaut avec l’ensemble des plugins dits "compatibles", ils ont été testés et intégrés afin de fonctionner parfaitement avec chaque (...) -
Le plugin : Podcasts.
14 juillet 2010, parLe problème du podcasting est à nouveau un problème révélateur de la normalisation des transports de données sur Internet.
Deux formats intéressants existent : Celui développé par Apple, très axé sur l’utilisation d’iTunes dont la SPEC est ici ; Le format "Media RSS Module" qui est plus "libre" notamment soutenu par Yahoo et le logiciel Miro ;
Types de fichiers supportés dans les flux
Le format d’Apple n’autorise que les formats suivants dans ses flux : .mp3 audio/mpeg .m4a audio/x-m4a .mp4 (...) -
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs
Sur d’autres sites (6515)
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Calculate PSNR and MSE for individual frames using ffmpeg
26 juin 2015, par Mayank AgarwalI have an avi file.i am converting avi file to .mp4 codec H.264 and ain second case to .mp4 file codec H.265.Now i want to calculate the PSNR/MSE/MSAD between the ref file(avi file) and the converted mp4 file using ffmpeg.Came across ffmpeg command line filters for PSNR and SSIM calculation but it gives the average PSNR value not the PSNR value frame by frame.Also i want to do it using code and not using command line.Read several examples in demuxing.c it is separating the whole file into frames in av_read_frame before calling decode
but how can i convert pkt to frame and able to calculate PSNR or MSE values.Regards
Mayank -
Enhanced Privacy Control : Matomo’s Guide for Consent Manager Platform Integrations
13 février, par Alex Carmona — Development, Latest ReleasesIn today’s digital landscape, protecting user privacy isn’t just about compliance—it’s about building trust and demonstrating respect for user choices. Even though you can use Matomo without requiring consent when properly configured in compliance with privacy regulations, we’re excited to introduce a new Consent Manager Platforms (CMP) category on our Integrations page to make it easier than ever to implement privacy-respecting analytics.
What’s a consent manager platform ?
A Consent Management Platform (CMP) is a tool that helps websites collect, manage, and store user consent for data tracking and cookies in compliance with privacy regulations like GDPR and CCPA. A CMP allows users to choose which types of data they want to share, ensuring transparency and respecting their privacy preferences. By integrating a CMP with Matomo, organisations can make sure that analytics tracking occurs only after obtaining explicit user consent.
Remember, you can configure Matomo to remain fully GDPR compliant, without requiring user consent.
Why consent management matters
With privacy regulations reshaping data collection practices daily, organisations need to ensure that analytics data is gathered only after users have explicitly given their consent. Integrating Matomo with a Consent Management Platform helps you :
- Strengthen regulatory compliance
- Enhance user trust through transparency
- Clearly document consent choices
- Simplify privacy management
By making consent management seamless, you can maintain compliance while delivering a privacy-first experience to your users.
Introducing our CMP integration options
We’ve carefully curated integrations with leading Consent Management Platforms that work seamlessly with Matomo Analytics and Matomo Tag Manager. Our supported platforms include :
Supported consent management platforms
- Osano – Comprehensive consent management with global regulation support
- Cookiebot – Advanced cookie consent and compliance automation
- CookieYes – User-friendly consent management solution
- Tarte au Citron – Open-source consent management tool
- Klaro – Privacy-focused consent management system
- OneTrust – Enterprise-grade privacy management platform
- Complianz for WordPress – Specialised WordPress consent solution
Each platform provides unique features and compliance options, allowing you to select the best fit for your privacy needs.
Getting started with simplified implementation
Ready to enhance your privacy compliance ? We’ve made the integration process straightforward, so you can set up a privacy-compliant analytics environment in just a few steps. Here’s how to begin :
- Explore our new CMP category on the Integrations page
- Select and implement the CMP that best suits your needs
- Check our implementation guides for step-by-step instructions
- Configure your consent management settings in Matomo
- Start collecting analytics data with proper consent management
Moving Forward
As privacy regulations evolve and user expectations around data protection grow, proper consent management is more important than ever. With Matomo’s new CMP integrations, you can ensure compliance while maintaining full control over your analytics data.
Visit our Integrations page and our Implementation guides today to explore these privacy-enhancing solutions and take the next step in your privacy-first analytics journey.
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Automatically inject 360° 3D metadata into a video with a Bash script
27 octobre 2019, par Eduardo PerezSo, I have a Cygwin script I made which concats several videos into a single video with different variations, and I want to inject stereoscopic 3D metadata into the videos through the script so I don’t have to inject each video separately using Google’s injector tool. The videos are all 360° videos with top/bottom 3D and standard stereo audio rather than spacial audio, and in an MP4 container. Is there any way that I can either inject the needed 3D metadata using FFmpeg so I can upload it to YouTube as a 360VR video, or use the source code of Google’s injector tool or some other tool in order to inject the metadata the same way that Google’s injector tool would so it’s supported as a 360° 3D video by YouTube ?
Also, will the injector tool automatically move the MOV atom to the beginning of the file (if the injector tool is used) or will I still need to use
-movflags +faststart
in FFmpeg ? The videos are kind of big and apparently using FFmpeg to concat several video files together and copy the stream codecs with-movflags +faststart
and then injecting the metadata using Google’s Spherical Media tool is three times longer than just using FFmpeg in the same way but without-movflags +faststart
, so if there was a fast way to do this I’d greatly appreciate it.