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  • Demande de création d’un canal

    12 mars 2010, par

    En fonction de la configuration de la plateforme, l’utilisateur peu avoir à sa disposition deux méthodes différentes de demande de création de canal. La première est au moment de son inscription, la seconde, après son inscription en remplissant un formulaire de demande.
    Les deux manières demandent les mêmes choses fonctionnent à peu près de la même manière, le futur utilisateur doit remplir une série de champ de formulaire permettant tout d’abord aux administrateurs d’avoir des informations quant à (...)

  • Les vidéos

    21 avril 2011, par

    Comme les documents de type "audio", Mediaspip affiche dans la mesure du possible les vidéos grâce à la balise html5 .
    Un des inconvénients de cette balise est qu’elle n’est pas reconnue correctement par certains navigateurs (Internet Explorer pour ne pas le nommer) et que chaque navigateur ne gère en natif que certains formats de vidéos.
    Son avantage principal quant à lui est de bénéficier de la prise en charge native de vidéos dans les navigateur et donc de se passer de l’utilisation de Flash et (...)

  • Gestion de la ferme

    2 mars 2010, par

    La ferme est gérée dans son ensemble par des "super admins".
    Certains réglages peuvent être fais afin de réguler les besoins des différents canaux.
    Dans un premier temps il utilise le plugin "Gestion de mutualisation"

Sur d’autres sites (6701)

  • avformat/hnm : Only keep and parse what is needed later

    21 mars 2020, par Andreas Rheinhardt
    avformat/hnm : Only keep and parse what is needed later
    

    The hnm demuxer's context struct contained lots of fields that are
    write-only variables or that are not used outside of parsing the header
    and that can therefore be replaced by local variables of hnm_read_header().
    This commit removes all of these from the context ; the second type has
    been replaced by local variables.

    An AVPacket (that was initialized when reading the header and for which
    dead code to unreference it existed in hnm_read_close()) is among the
    removed things. Removing it allowed to remove hnm_read_close()
    altogether and also removes another instance of usage of sizeof(AVPacket).

    Reviewed-by : Paul B Mahol <onemda@gmail.com>
    Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

    • [DH] libavformat/hnm.c
  • ffmpeg - stream_loop mp3 + looping video (per track)

    5 mars 2023, par cYberSport91

    I'm using ffmpeg to create a livestream video playlist of a folder of mp3s and a folder of videos.

    &#xA;&#xA;

    I'd like everytime a new song comes on a new video loops until the next song.

    &#xA;&#xA;

    Initially I was using live-stream-radio which is perfect except how it's handled is after every track a new ffmpeg stream loop is initialized. And in a lot of clients this issues a stop command, and there's "dead space" between.

    &#xA;&#xA;

    My attempt was when creating the gif playlist text file (they were gifs but I converted to mp4), I set the duration for the duration of the corresponding track. The problem is the video plays once, and then freezes on the final frame until the next track.

    &#xA;&#xA;

    rm music.txt&#xA;rm gifs.txt&#xA;printf "ffconcat version 1.0\n" >> gifs.txt&#xA;printf "ffconcat version 1.0\n" >> music.txt&#xA;for i in {1..9}; do&#xA;  printf "file &#x27;mp3/00%s.mp3&#x27;\n" $i >> music.txt&#xA;done&#xA;&#xA;for i in {1..9}; do&#xA;  DURATION=$(ffmpeg -i mp3/00$i.mp3 2>&amp;1 | awk &#x27;/Duration/ { print substr($2,0,length($2)-1) }&#x27;)&#xA;  printf "file &#x27;gif/00%s.mp4&#x27;\nduration %s\n" $i $DURATION >> gifs.txt&#xA;done&#xA;&#xA;ffmpeg \&#xA;    -stream_loop -1 \&#xA;    -i gifs.txt \&#xA;    -i music.txt \&#xA;    -vcodec libx264 \&#xA;    -f flv "$URL"&#xA;

    &#xA;&#xA;

    Any ideas here would be great.

    &#xA;

  • How to Use Web Analytics to Improve SEO

    5 janvier 2022, par erin — Analytics Tips

    Everyone wants their website to rank highly in Google — and that’s exactly why the world of SEO is so competitive.

    In order to succeed in such a crowded space, it’s essential to equip yourself with the right tools and processes to ensure your website is maximally optimised for search engines.

    If you’d like to improve your website’s SEO rankings, leveraging web analytics is one of the best places to start. Web analytics provides valuable insights to help you assess performance, user behaviour and optimisation opportunities.

    In this blog, we’ll cover :

    The basics of SEO and web analytics

    Before we discuss how to use web analytics for SEO, let’s start with a quick explanation of both.

    SEO (Search Engine Optimisation) encompasses a broad set of activities aimed at increasing a website’s position in search engine results pages (SERPs). When a user enters a query (e.g. ‘marketing agencies in Dallas’) in a search engine, the websites that appear near the top of the page are optimised for search engines and therefore ranking for that particular term. 

    Web analytics refers to the monitoring/assessment of metrics that track traffic sources and user behaviour on a website. This involves the use of a web analytics tool to collect, aggregate, organise and visualise website data so that meaningful conclusions can be drawn.

    The importance of website analytics for SEO

    SEO revolves around search engine algorithms – a set of rules that dictates a website’s ranking for a given search query (i.e. keyword). The algorithm takes numerous factors into account to determine a particular site’s SERP ranking. So, to achieve strong SEO, your website needs to exhibit qualities that the algorithm deems important. That’s where web analytics comes into play.

    Web analytics allows you to track key metrics and data points that affect how the algorithm ranks your website. For example, how much time do users spend on your site ? Which external links are referring traffic to your site ? How do your site’s Core Web Vitals stack up ? 

    Understanding this data will supply you with the insights needed to make positive adjustments, ultimately improving your website’s SEO. 

    How do you analyse a website for SEO ?

    The SEO analysis of a website needs to be focused on relevant data that’s applicable to search engine rankings. When conducting your website SEO analysis, here are some notable metrics and data fields to pay attention to :

    1. Bounce rate and dwell time

    These metrics denote how much time users spend on your website. If users frequently exit your site after only a few seconds, Google may view this as a negative indicator. To reduce bounce rate and increase dwell time, you should work towards making your site’s content more captivating and ensuring that there aren’t any technical issues with your site (e.g. pages taking too long to load or not optimised for mobile).

    Bounce rate on Matomo's Page report
    Bounce rate and average time on page via Pages report

    2. Broken/dead links

    Perform a technical analysis to scan your website for faulty links. If your site contains broken links that lead to 404 pages, this can detract from your website’s SEO rankings. Redirect those links to a related page or remove them.

    Crawl Errors report in Matomo
    404 errors via the Crawling Errors report

    Matomo’s Crawling Errors report can give you instant access to this technical information so you can resolve it before it begins to impact your ranking.

    3. Scroll depth

    Measuring scroll depth (how far users scroll down the page) can help you gauge the quality of your content — and this goes hand-in-hand with bounce rate and dwell time. To assess scroll depth, you can use a Tag Manager to track the specific scroll percentage on your site’s pages.

    4. Transitions

    Studying how users transition from page to page within your site can help you understand their behaviour more holistically. Which pages do they tend to gravitate towards ? Are there CTAs on your blog that aren’t driving many click-throughs ? Optimising user journeys will, in turn, elevate the overall user experience on your site.

    Matomo's Transition report
    Previous and following actions of visitors for a website’s cart page via the Transitions report

    5. Internal site search

    You can use site search tracking and reporting to learn what your audience is looking for. If you notice a trend (e.g. the majority of searches are for pricing because your pricing page isn’t in the navigation menu), this can inform both site architecture and content planning.

    Matomo's Site Search Keywords report
    List of keywords via Site Search Keywords report

    Ecommerce sites in particular should be monitoring branded queries, especially in regards to brand misspellings that could be causing users to bounce off the site.

    6. Segments

    Separating your visitors into distinct segments can produce granular insights that paint a more accurate picture.

    For example, perhaps you notice that your bounce rate is far higher on mobile, or with users from the UK. In both cases, this knowledge will provide clarity on where to focus your optimisation efforts (e.g. mobile responsiveness, UK-specific content/landing pages, etc.).

    Website visitor segment via Matomo's Site Search Keywords report
    Matomo’s Site Search report combined with the Returning Users Segment

    7. Acquisition channels

    It’s crucial to analyse where your website traffic is coming from. Among other things, reviewing your acquisition metrics will reveal which external websites are referring the most traffic to your website. 

    Links from external sites (also known as backlinks) are one of the most important ranking factors because this tells Google that your site is reputable and credible. So, you may choose to cultivate a relationship with these sites (or similar sites) by offering guest blogging and other link building initiatives.

    Referral Website report in Matomo
    Referral websites via Matomo’s Websites report

    In addition to the above, you should also be monitoring your Core Web Vitals — which leads us to our next section.

    What are Core Web Vitals and why are they important ?

    Core Web Vitals are a set of 3 primary metrics that reflect the general user experience of a website. These metrics are load time, interactivity and stability. 

    1. Load time (LCP) refers to the amount of time it takes for your website’s text and images to load.
    2. Interactivity (FID) refers to the amount of time it takes for user input areas (buttons, form fields, etc.) to become functional.
    3. Stability (CLS) refers to the visual/spatial integrity of your website. If text, images, and other elements tend to suddenly shift position when a user is viewing the site, this will hurt your CLS score.
    Matomo's SEO Web VItals report
    Core Web Vitals metrics via Matomo’s SEO Web Vitals report

    So, why are these Core Web Vitals metrics important for SEO ? Generally speaking, Google prioritises user experience — and Core Web Vitals affect users’ satisfaction with a website. Furthermore, Google has confirmed that Core Web Vitals are, indeed, a ranking factor.

    Matomo enables you to track metrics for Core Web Vitals which we refer to as SEO Web Vitals.

    How to measure and track keyword performance

    We can’t talk about SEO and analytics without touching on keywords. Keywords (the words/phrases that users type in a search engine) are arguably the most cardinal component of SEO. So, outside of website performance, it’s also necessary to track the keywords your website is ranking for. 

    Recall from above that SEO is all about ranking highly on SERPs for certain search queries (i.e. keywords). To assess your Search Engine Keyword Performance, you can use an analytics tool to view Keyword reports for your website. These reports will show you which keywords your site ranks for, the average SERP position your site achieves for each keyword, the amount of traffic you receive from each keyword, and more.

    Top keywords generating traffic via Matomo's Search Engines & Keywords Performance report
    Top keywords generating traffic via Search Engines & Keywords report in Matomo

    Digging into your keyword performance can help you identify valuable keyword opportunities and improvement goals.

    For example, upon reviewing your highest-traffic keywords, you may choose to create more blog content around those keywords to bolster your success. Or, perhaps you notice that your average position for a high-intent keyword is quite low. In that case, you could implement a targeted link building campaign to help boost your ranking for that keyword. 

    Final thoughts

    In this article, we’ve discussed the benefits of web analytics — particularly in regards to SEO. When it comes to selecting a web analytics tool, Google Analytics is by far the most popular choice. But that doesn’t make it the best.

    At Matomo, we’re committed to providing a superior alternative to Google Analytics. Matomo is a powerful, open-source web analytics platform that gives you 100% data ownership — protecting both your data and your customers’ privacy.

    Try our live demo or start a free 21-day trial now – no credit card required.