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Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
Autres articles (87)
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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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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 -
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 (15906)
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Can't initialize "h264_mediacodec" for hw accelerated decoding, FFMPEG, Android
27 mars 2024, par Ramil GalinI am trying to create hw accelerated decoding on Android through JNI and following this example but, unfortunately,
avcodec_get_hw_configreturns nullptr.

I have also tried using
avcodec_find_decoder_by_name("h264_mediacodec"), also returns nullptr.

I built ffmpeg (version 4.4) using this script with the flags :


--enable-jni \
--enable-mediacodec \
--enable-decoder=h264_mediacodec \
--enable-hwaccel=h264_mediacodec \


When configuring build I saw in logs
WARNING: Option --enable-hwaccel=h264_mediacodec did not match anything, which is actually strange. FFMPEG 4.4 should support hw accelerated decoding using mediacodec.

Edit : (providing minimal reproducible example)


In the JNI method I init input context of decoder and init decoder :


void Decoder::initInputContext(
 const std::string& source,
 AVDictionary* options
 ) { // open input, and allocate format context
 if (
 avformat_open_input(
 &m_inputFormatContext,
 source.c_str(),
 NULL,
 options ? &options : nullptr
 ) < 0
 ) {
 throw FFmpegException(
 fmt::format("Decoder: Could not open source {}", source)
 );
 }
 
 // retrieve stream information
 if (avformat_find_stream_info(m_inputFormatContext, NULL) < 0) {
 throw FFmpegException(
 "Decoder: Could not find stream information"
 );
 }

 // get audio and video streams
 for (size_t i = 0; i < m_inputFormatContext->nb_streams; i++) {
 AVStream* inStream = m_inputFormatContext->streams[i];
 AVCodecParameters* inCodecpar = inStream->codecpar;
 if (
 inCodecpar->codec_type != AVMEDIA_TYPE_AUDIO &&
 inCodecpar->codec_type != AVMEDIA_TYPE_VIDEO
 ) {
 continue;
 }

 if (inCodecpar->codec_type == AVMEDIA_TYPE_VIDEO) {
 m_videoStreamIdx = i;
 m_videoStream = inStream;

 m_codecParams.videoCodecId = m_videoStream->codecpar->codec_id;
 m_codecParams.fps = static_cast<int>(av_q2d(m_videoStream->r_frame_rate) + 0.5);
 m_codecParams.clockrate = m_videoStream->time_base.den;

 spdlog::debug(
 "Decoder: fps: {}, clockrate: {}",
 m_codecParams.fps,
 m_codecParams.clockrate
 )
 ;
 }

 if (inCodecpar->codec_type == AVMEDIA_TYPE_AUDIO) {
 m_audioStreamIdx = i;
 m_audioStream = inStream;

 m_codecParams.audioCodecId = m_audioStream->codecpar->codec_id;
 m_codecParams.audioSamplerate = m_audioStream->codecpar->sample_rate;
 m_codecParams.audioChannels = m_audioStream->codecpar->channels;
 m_codecParams.audioProfile = m_audioStream->codecpar->profile;

 spdlog::debug(
 "Decoder: audio samplerate: {}, audio channels: {}, x: {}",
 m_codecParams.audioSamplerate,
 m_codecParams.audioChannels,
 m_audioStream->codecpar->channels
 )
 ;
 }
 }
 }

 void Decoder::initDecoder() {
 AVCodecParameters* videoStreamCodecParams = m_videoStream->codecpar;

 m_swsContext = sws_getContext(
 videoStreamCodecParams->width, videoStreamCodecParams->height, m_pixFormat,
 videoStreamCodecParams->width, videoStreamCodecParams->height, m_targetPixFormat,
 SWS_BICUBIC, nullptr, nullptr, nullptr);

 // find best video stream info and decoder
 int ret = av_find_best_stream(m_inputFormatContext, AVMEDIA_TYPE_VIDEO, -1, -1, &m_decoder, 0);
 if (ret < 0) {
 throw FFmpegException(
 "Decoder: Cannot find a video stream in the input file"
 );
 }

 if (!m_decoder) {
 throw FFmpegException(
 "Decoder: Can't find decoder"
 );
 }

 // search for supported HW decoder configuration
 for (size_t i = 0;; i++) {
 const AVCodecHWConfig* config = avcodec_get_hw_config(m_decoder, i);
 if (!config) {
 spdlog::error(
 "Decoder {} does not support device type {}. "
 "Will use SW decoder...",
 m_decoder->name,
 av_hwdevice_get_type_name(m_deviceType)
 );
 break;
 }

 if (
 config->methods & AV_CODEC_HW_CONFIG_METHOD_HW_DEVICE_CTX &&
 config->device_type == m_deviceType
 ) {
 // set up pixel format for HW decoder
 g_hwPixFmt = config->pix_fmt;
 m_hwDecoderSupported = true;
 break;
 }
 }
 }
</int>

And I have
AVHWDeviceType m_deviceType{AV_HWDEVICE_TYPE_MEDIACODEC};

avcodec_get_hw_configreturns nullptr.

Any help is appreciated.


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How to Choose a GDPR Compliant Web Analytics Solution
2 mars 2022, par Matthieu Aubry — PrivacySince the launch of GDPR, one big question has lingered around with uncertainty – is Google Analytics GDPR compliant ? The current GDPR enforcement trend happening across the EU is certainly shedding some light on this question.
Starting with the Austrian Data Protection Authority’s ruling on Google Analytics and more recently, CNIL (the French Data Protection Authority) has followed suit by also ruling Google Analytics illegal to use. Organisations with EU-based web visitors are now scrambling to find a compliant solution.
The French Data Protection Authority (CNIL) has already started delivering formal notices to websites using Google Analytics, so now is the time to act. According to CNIL, organisations have two options :
- Ceasing use of the Google Analytics functionality (under the current conditions)
- Use a compliant web analytics tool that does not transfer data outside the EU
Getting started
For organisations considering migrating to a compliant web analytics tool, I’ve outlined below the things you need to consider when weighing up compliant web analytics tools. Once you’ve made a choice, I’ve also included a step-by-step guide to migrating away from Google Analytics. This guide is useful regardless of which GDPR compliant analytics provider you choose.
Before getting started, I recommend that you document your findings against the following considerations while reviewing GDPR compliant Google Analytics alternatives. This document can then be shared with your Data Protection Officer (DPO) to get their final recommendation.
10 key considerations when selecting a GDPR compliant web analytics tools
Many tools will claim to be GDPR compliant so it’s important that you do your due diligence and review tools against the following considerations.
1. Where does the tool store data ?
The rulings in France and Austria were based on the fact that Google Analytics stores data in the US, which does not have an adequate level of data protection. Your safest option is to find a tool that legally stores data in the EU.
You should be able to find out where the data is stored in the organisation’s privacy policy. Generally, data storage information can be found under sections titled “Subprocessors” and “Third-party services”. Check out the Matomo Privacy Policy as an example.
If you’re unable to easily find this information or it’s unclear, reach out to the organisation for more information.
2. Does the tool offer anonymous tracking ?
Anonymous tracking comes with many benefits, including :
- The ability to track visitors without a cookie consent screen. Due to the privacy-respecting aspect of cookieless tracking, you don’t need to worry about the extra steps involved with compliant cookie banners.
- More accurate data. When visitors deny tracking cookies, you lose out on valuable data. With anonymous tracking there is no data lost as you don’t need consent to track.
- Simplified GDPR compliance. With this enabled, there are fewer steps you need to take to get GDPR compliant and stay GDPR compliant.
For those reasons, it may be important for you to select a tool that offers anonymous tracking functionalities. The level of anonymous tracking you require will depend on your situation but you should look out for tools that allow you to :
- Disable fingerprinting
- Disable user profiles
- Anonymise data
- Cookieless tracking
If you want to read more about data anonymization, check out this guide on data anonymization in web analytics.
3. Does the tool integrate with my existing tech stack ?
You’ll want to ensure that a new web analytics tool will play well with other tools in your tech stack including things like your CMS (content management system), eCommerce shop, etc. You should list out all the existing tools that currently integrate with your Google Analytics and check that the same integrations can be re-created with the new tool, via integrations or APIs.
If not, it could become costly trying to connect your existing tech stack to a new solution.
4. Does the tool offer the same features and insights you are currently using in Google Analytics ? Or more, if necessary ?
Just because you are moving to a new web analytics platform, doesn’t mean you have to give up the insights, reports and features you’ve grown accustomed to with Google Analytics. Ensuring that a new platform provides the same features and reports that you value the most will result in a smoother transition away from Google Analytics.
It’s unlikely that a new tool will have all of the same features as Google Analytics, so I’d recommend listing out and prioritising your business-critical features and reports.
If I had to guess, you probably set up Google Analytics years ago because it was the default option. Now is your chance to make the most of this switch from Google Analytics and find a tool that offers additional reports and features that better aligns with your business. If time permits, I’d highly recommend that you consider other features or reports that you might have been missing out on while using Google Analytics.
Check out this comparison of Google Analytics vs Matomo to see side-by-side feature comparison.
5. Does the tool accept Google Analytics data imports ?
The historical data in Google Analytics is a critical asset for many businesses. Fortunately, some tools accept Google Analytics data imports so you don’t lose all of the data you’ve generated over time.
However, it’s important to note that any data you import from Google Analytics to a new tool needs to be compliant data. I’ll cover this more below.
6. Does the tool provide conversion tracking exports ?
Do you invest in paid advertising ? If you do, then tracking the conversions from people clicking on these paid ads is critical in assessing your return on investment. Since sending IP addresses or other personal information to the US is illegal under GDPR, we can only assume that this will also apply to advertising pixel/conversion tracking (e.g., Facebook pixel, Google Ads conversion tracking, etc).
As an example, Matomo offers conversion tracking exports so you can get a better understanding of ad performance while meeting privacy laws and without requiring consent from users. See how it works with Matomo’s conversion tracking exports.
7. How will you train up your in-house team ? Or can you hire a contractor ?
This is a common concern of many, and rightfully so. You’ll want to confirm what resources are readily available so you can hit the ground running with your new web analytics tool. If you’d prefer to train up your in-house team, check the provider’s site for training resources, videos, guides, etc.
If you’d rather hire an external contractor, we recommend heading to LinkedIn, reaching out to your community or asking the provider if they have any recommendations for contractors.
In addition, check that the provider offers technical support or a forum, in case you have specific questions and need help.
8. Does the tool offer self-hosting ? (optional)
For organisations that want full control over their data and storage location, an on-premise web analytics tool will be the preferred option. From a GDPR perspective, this is also the easiest option for compliance.
Keep in mind that this requires resources, regular maintenance, technical knowledge and/or technical consultants. If you’re unsure which option is best for your organisation, check out our on-premise vs cloud web analytics comparison breakdown.
Find out more about self-hosting Matomo.
9. Is the tool approved by the CNIL for tracking without consent ?
This is an important step for websites with French users. This step will help narrow down your selection of tools. The CNIL offers a programme to identify web analytics solutions that can be used without tracking consent. The CNIL’s list of recommended web analytics tools can act as your starting point for solutions to review.
While this step is specific to sites with French users, it can also be helpful for websites with visitors from any other EU country.
Benefits of consent-free tracking
There are many benefits of tracking without consent.
For one, it simplifies GDPR compliance and reduces the chances of GDPR breaches and fines. Cookie consent screens have recently been the target for EU Data Protection Authorities because many websites are unknowingly serving cookie consent screens that do not meet GDPR requirements.
Yet another benefit, and quite possibly the most important is more accurate data. Even if a website displays a user-friendly, lawful consent screen, the majority of users will either ignore or reject cookie consent. Legally website owners can’t track anything unless the visitor gives consent. So not having a cookie consent screen ensures that every visit is tracked and your web analytics data is 100% accurate.
Lastly, many visitors have grown fatigued and frustrated with invasive cookie consent screens. Not having one on your site creates a user-friendly experience, which will likely result in longer user sessions and lower bounce rates.
10. Does the tool offer a Data Processing Agreement (DPA) ?
Technically, any GDPR compliant web analytics tool should offer a DPA but for the sake of completeness, I’ve added this as a consideration. Double check that any tools you are looking at provide this legally binding document. This should be located in the Privacy Policy of the web analytics provider, if not reach out to request it.
As an example, here’s Matomo’s Data Processing Agreement which can be found in our Privacy Policy under Subprocessors.
That wraps up the key considerations. When it comes to compliance, privacy and customer data, Matomo leads the way. We are looking forward to helping you achieve GDPR compliance easily. Start your free 21-day trial of Matomo now – no credit card required.
A step-by-step guide to migrating from Google Analytics
Once you’ve identified a tool that suits your needs and your Data Protection Officer (DPO) has approved, you’re ready to get started. Here’s a simple step-by-step guide with all the important steps for you to follow :
1. Before getting started, you should sign or download the Data Processing Agreement (DPA) offered by your new web analytics provider.
2. Register for the new tool and configure it for compliance. The provider should offer guides on how to configure for GDPR compliance. This will include things like giving your users an easy way to opt-out of all tracking, turning on cookieless tracking or asking users for consent and anonymizing data and IP addresses, for instance.
3. Inform your organisation about the change. Whether your colleagues use the tool or not, it’s important that you share information about the new tool with your staff. Let them know what the tool will be used for, who will use the tool and how it complies with GDPR.
4. Let your DPO know that you’ve removed Google Analytics and have implemented the new tool.
5. Update your records of processing activities to include the new tool.
6. Update your privacy policy. You’ll need to include details about the web analytics provider, where the data is stored, what data is being collected, how long the data will be stored and why the data is being collected. The web analytics tool should readily have this information for you.
As an example, if you decide to use Matomo as your web analytics tool, we provide a Privacy Policy template for you to use on your site and a guide on how to complete your privacy policy under GDPR with Matomo. Note that these are only applicable if you are using Matomo.
In addition, if the tool has an opt-out feature, you will also need to put the opt-out into the privacy policy (e.g., when using cookieless tracking).
7. Now, the exciting part. Add the tracking code to your site by following the steps provided by the web analytics tool.
If you’re not comfortable with this step, the provider should offer steps to do this and you can share this with your web developer.
8. Once added, login to your tool and check to see if traffic is being tracked.
9. If your tool does not offer Google Analytics data imports or you do not need the historical data in your new tool, go to step 11.
To plan for your Google Analytics data migration, you’ll first need to establish what historical data is compliant with GDPR.
For example, you shouldn’t import any data stored beyond the retention period established in your Privacy Policy or any personally identifiable information (PII) like IP addresses that aren’t anonymised. Discuss this further with your DPO.
10. Once you’ve established what data you can legally import, then you can begin the import. Follow the steps provided by your new web analytics solution provider.
11. Remove Google Analytics tracking code from your site. This will stop the collection of your visitors data by Google as well as slightly increase the page load speed.
If you still haven’t made a choice yet, try Matomo free for 21-days and see why over 1 million websites choose Matomo.
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Segmentation Analytics : How to Leverage It on Your Site
27 octobre 2023, par Erin — Analytics TipsThe deeper you go with your customer analytics, the better your insights will be.
The result ? Your marketing performance soars to new heights.
Customer segmentation is one of the best ways businesses can align their marketing strategies with an effective output to generate better results. Marketers know that targeting the right people is one of the most important aspects of connecting with and converting web visitors into customers.
By diving into customer segmentation analytics, you’ll be able to transform your loosely defined and abstract audience into tangible, understandable segments, so you can serve them better.
In this guide, we’ll break down customer segmentation analytics, the different types, and how you can delve into these analytics on your website to grow your business.
What is customer segmentation ?
Before we dive into customer segmentation analytics, let’s take a step back and look at customer segmentation in general.
Customer segmentation is the process of dividing your customers up into different groups based on specific characteristics.
These groups could be based on demographics like age or location or behaviours like recent purchases or website visits.
By splitting your audience into different segments, your marketing team will be able to craft highly targeted and relevant marketing campaigns that are more likely to convert.
Additionally, customer segmentation allows businesses to gain new insights into their audience. For example, by diving deep into different segments, marketers can uncover pain points and desires, leading to increased conversion rates and return on investment.
But, to grasp the different customer segments, organisations need to know how to collect, digest and interpret the data for usable insights to improve their business. That’s where segmentation analytics comes in.
What is customer segmentation analytics ?
Customer segmentation analytics splits customers into different groups within your analytics software to create more detailed customer data and improve targeting.
With customer segmentation, you’re splitting your customers into different groups. With customer segmentation analytics, you’re doing this all within your analytics platform so you can understand them better.
One example of splitting your customers up is by country. For example, let’s say you have a global customer base. So, you go into your analytics software and find that 90% of your website visitors come from five countries : the UK, the US, Australia, Germany and Japan.
In this area, you could then create customer segmentation subsets based on these five countries. Moving forward, you could then hop into your analytics tool at any point in time and analyse the segments by country.
For example, if you wanted to see how well your recent marketing campaign impacted your Japanese customers, you could look at your Japanese subset within your analytics and dive into the data.
The primary goal of customer segmentation analytics is to gather actionable data points to give you an in-depth understanding of your customers. By gathering data on your different audience segments, you’ll discover insights on your customers that you can use to optimise your website, marketing campaigns, mobile apps, product offerings and overall customer experience.
Rather than lumping your entire customer base into a single mass, customer segmentation analytics allows you to meet even more specific and relevant needs and pain points of your customers to serve them better.
By allowing you to “zoom in” on your audience, segmentation analytics helps you offer more value to your customers, giving you a competitive advantage in the marketplace.
5 types of segmentation
There are dozens of different ways to split up your customers into segments. The one you choose depends on your goals and marketing efforts. Each type of segmentation offers a different view of your customers so you can better understand their specific needs to reach them more effectively.
While you can segment your customers in almost endless ways, five common types the majority fall under are :
Geographic
Another way to segment is by geography.
This is important because you could have drastically different interests, pain points and desires based on where you live.
If you’re running a global e-commerce website that sells a variety of clothing products, geographic segmentation can play a crucial role in optimising your website.
For instance, you may observe that a significant portion of your website visitors are from countries in the Southern Hemisphere, where it’s currently summer. On the other hand, visitors from the Northern Hemisphere are experiencing winter. Utilising this information, you can tailor your marketing strategy and website accordingly to increase sells.
Where someone comes from can significantly impact how they will respond to your messaging, brand and offer.
Geographic segmentation typically includes the following subtypes :
- Cities (i.e., Austin, Paris, Berlin, etc.)
- State (i.e., Massachusetts)
- Country (i.e., Thailand)
Psychographic
Another key segmentation type of psychographic. This is where you split your customers into different groups based on their lifestyles.
Psychographic segmentation is a method of dividing your customers based on their habits, attitudes, values and opinions. You can unlock key emotional elements that impact your customers’ purchasing behaviours through this segmentation type.
Psychographic segmentation typically includes the following subtypes :
- Values
- Habits
- Opinions
Behavioural
While psychographic segmentation looks at your customers’ overall lifestyle and habits, behavioural segmentation aims to dive into the specific individual actions they take daily, especially when interacting with your brand or your website.
Your customers won’t all interact with your brand the same way. They’ll act differently when interacting with your products and services for several reasons.
Behavioural segmentation can help reveal certain use cases, like why customers buy a certain product, how often they buy it, where they buy it and how they use it.
By unpacking these key details about your audience’s behaviour, you can optimise your campaigns and messaging to get the most out of your marketing efforts to reach new and existing customers.
Behavioural segmentation typically includes the following subtypes :
- Interactions
- Interests
- Desires
Technographic
Another common segmentation type is technographic segmentation. As the name suggests, this technologically driven segment seeks to understand how your customers use technology.
While this is one of the newest segmentation types marketers use, it’s a powerful method to help you understand the types of tech your customers use, how often they use it and the specific ways they use it.
Technographic segmentation typically includes the following subtypes :
- Smartphone type
- Device type : smartphone, desktop, tablet
- Apps
- Video games
Demographic
The most common approach to segmentation is to split your customers up by demographics.
Demographic segmentation typically includes subtypes like language, job title, age or education.
This can be helpful for tailoring your content, products, and marketing efforts to specific audience segments. One way to capture this information is by using web analytics tools, where language is often available as a data point.
However, for accurate insights into other demographic segments like job titles, which may not be available (or accurate) in analytics tools, you may need to implement surveys or add fields to forms on your website to gather this specific information directly from your visitors.
How to build website segmentation analytics
With Matomo, you can create a variety of segments to divide your website visitors into different groups. Matomo’s Segments allows you to view segmentation analytics on subsets of your audience, like :
- The device they used while visiting your site
- What channel they entered your site from
- What country they are located
- Whether or not they visited a key page of your website
- And more
While it’s important to collect general data on every visitor you have to your website, a key to website growth is understanding each type of visitor you have.
For example, here’s a screenshot of how you can segment all of your website’s visitors from New Zealand :
The criteria you use to define these segments are based on the data collected within your web analytics platform.
Here are some popular ways you can create some common themes on Matomo that can be used to create segments :
Visit based segments
Create segments in Matomo based on visitors’ patterns.
For example :
- Do returning visitors show different traits than first-time visitors ?
- Do people who arrive on your blog experience your website differently than those arriving on a landing page ?
This information can inform your content strategy, user interface design and marketing efforts.
Demographic segments
Create segments in Matomo based on people’s demographics.
For example :
- User’s browser language
- Location
This can enable you to tailor your approach to specific demographics, improving the performance of your marketing campaigns.
Technographic segments
Create segments in Matomo based on people’s technographics.
For example :
- Web browser being used (i.e., Chrome, Safari, Firefox, etc.)
- Device type (i.e., smartphone, tablet, desktop)
This can inform how to optimise your website based on users’ technology preferences, enhancing the effectiveness of your website.
Interaction based segments
Create segments in Matomo based on interactions.
For example :
- Events (i.e., when someone clicks a specific URL on your website)
- Goals (i.e., when someone stays on your site for a certain period)
Insights from this can empower you to fine-tune your content and user experience for increasing conversion rates.
Visitor profile view in Matomo with behavioural, location and technographic insights Campaign-based segments
Create segments in Matomo based on campaigns.
For example :
- Visitors arriving from specific traffic sources
- Visitors arriving from specific advertising campaigns
With these insights, you can assess the performance of your marketing efforts, optimise your ad spend and make data-driven decisions to enhance your campaigns for better results.
Ecommerce segments
Create segments in Matomo based on ecommerce.
For example :
- Visitors who purchased vs. those who didn’t
- Visitors who purchased a specific product
This allows you to refine your website and marketing strategy for increased conversions and revenue.
Leverage Matomo for your segmentation analytics
By now, you can see the power of segmentation analytics and how they can be used to understand your customers and website visitors better. By breaking down your audience into groups, you’ll be able to gain insights into those segments to know how to serve them better with improved messaging and relevant products.
If you’re ready to begin using segmentation analytics on your website, try Matomo. Start your 21-day free trial now — no credit card required.
Matomo is an ideal choice for marketers looking for an easy-to-use, out-of-the-box web analytics solution that delivers accurate insights while keeping privacy and compliance at the forefront.
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