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  • 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 (...)

  • Contribute to a better visual interface

    13 avril 2011

    MediaSPIP is based on a system of themes and templates. Templates define the placement of information on the page, and can be adapted to a wide range of uses. Themes define the overall graphic appearance of the site.
    Anyone can submit a new graphic theme or template and make it available to the MediaSPIP community.

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

Sur d’autres sites (5166)

  • How to Choose a GDPR Compliant Web Analytics Solution

    2 mars 2022, par Matthieu Aubry — Privacy

    Since 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 :

    1. Ceasing use of the Google Analytics functionality (under the current conditions) 
    2. 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. 

  • Google Analytics 4 (GA4) vs Matomo

    7 avril 2022, par Erin

    Google announced that Universal Analytics’ days are numbered. Universal Analytics will be replaced by Google Analytics 4 (or GA4) on the 1st of July 2023. 

    If Google Analytics users want to compare year-on-year data, they have until July 2022 to get set up and start collecting data before the sun sets on Universal Analytics (or UA).

    But is upgrading to Google Analytics 4 the right move ? There’s a lot to consider, and many organisations are looking for an alternative to Google Analytics. So in this blog, we’ll compare GA4 to Matomo – the leading Google Analytics alternative. 

    In this blog, we’ll look at :

    What is Matomo ?

    Matomo is a powerful privacy-first web analytics platform that gives you 100% data ownership. First launched in 2007, Matomo is now the world’s leading open-source web analytics platform and is used by more than 1 million websites. 

    Matomo’s core values are based on ethical data collection and processing. Consistently more businesses and organisations from around the globe are adopting data-privacy-compliant web analytics solutions like Matomo. 

    Matomo offers both Cloud and On-Premise solutions (and a five-star rated WordPress plugin), making for an adaptable and flexible solution. 

    What is Google Analytics 4 ?

    Google Analytics 4 is the latest version of Google Analytics and represents a completely new approach to data-modelling than its predecessor, Universal Analytics. For an in-depth look at how GA4 and UA compare, check out this Google Analytics 4 vs Universal Analytics comparison

    Google Analytics 4 will soon be the only available version of analytics software from Google. So what’s the issue ? Surely, in 2022, Google makes it easy to migrate to their newest (and only) analytics platform ? Not quite.

    Google Analytics 4 vs Matomo

    Whilst the core purpose of GA4 and Matomo is similar (providing web analytics that help to optimise your website and grow your business), there are several key differences that organisations should consider before making the switch.

    Importing Historical Data from Universal Analytics

    Google Analytics 4

    Users assuming that historical data from Universal Analytics could be imported into Google Analytics 4 were faced with swift disappointment. Unfortunately, Google Analytics 4 does not have an option to import data from its predecessor, Universal Analytics. This means that businesses won’t be able to import and compare data from previous years.

    Matomo

    If you don’t want to start from scratch with your web analytics data, then Matomo is an ideal solution for data continuity. Matomo offers users the ability to import their historical Universal Analytics data. So you can keep all that valuable historical data you’ve collected over the years.

    Google Analytics 4 Migration
    Tino Didriksen via Twitter

    User Interface

    Google Analytics 4

    GA4’s new user interface has been met with mixed reviews. Many claim that it’s overly complex and difficult to navigate. Some have even suggested that the tool has been designed specifically for enterprises with specialised analytics teams. 

    Kevin Levesquea via Twitter

    Matomo

    Matomo, on the other hand, is recognised for an easy to use interface, with a rating of 4.5 out of 5 stars for ease of use on Capterra. Matomo perfectly balances powerful features with a user-friendly interface so valuable insights are only a click away. There’s a reason why over 1 million websites are using Matomo. 

    Matomo Features

    Advanced Behavioural Analytics Features 

    Google Analytics 4

    While Google Analytics is undoubtedly robust in some areas (machine learning, for instance), what it really lacks is advanced behavioural analytics. Heatmaps, session recordings and other advanced tools can give you valuable insights into how users are engaging with your site. Well beyond pageviews and other metrics.

    Unfortunately, with this new generation of GA, Google still hasn’t introduced these features. So users have to manage subscriptions and tracking in third-party behavioural analytics tools like Hotjar or Lucky Orange, for example. This is inefficient, costly and time-consuming to manage. 

    Matomo Heatmaps Feature

    Matomo 

    Meanwhile, Matomo is a one-stop shop for all of your web analytics needs. Not only do you get access to the metrics you’ve grown accustomed to with Universal Analytics, but you also get built-in behavioural analytics features like Heatmaps, Scroll Depth, Session Recordings and more. 

    Want to know if visitors are reaching your call to action at the bottom of the page ? Scroll Depth will answer that.

    Want to know why visitors aren’t clicking through to the next page ? Heatmaps will give you the insights you need.

    You get the picture – the full picture, that is. 

    All-in-one web analytics

    Data Accuracy

    Google Analytics 4

    GA4 aims to make web and app analytics more privacy-centric by reducing the reliance on cookies to record certain events across platforms and devices. 

    However, when site and application visitors opt-out of cookie tracking, GA4 instead relies on machine learning to fill in the gaps. Data sampling could mean that your business is making business decisions based on inaccurate reports. 

    Matomo

    Data is the backbone of web analytics, so why make critical business decisions on sampled data ? With Matomo, you’re guaranteed 100% unsampled accurate data. So you can rest assured that any decisions you make are based on actual facts. 

    Compliance with Privacy Laws (GDPR, CCPA, etc.) 

    Google Analytics 4

    Google is making changes in an attempt to become compliant with privacy laws. However, even with GA4, users are still transferring data to the US. For this reason, both Austrian and French governments have ruled Google Analytics illegal under GDPR.

    The only possible workaround is “Privacy Shield 2.0”, but GDPR experts are still sceptical of this one. 

    Matomo

    If compliance with global privacy laws is a concern (and it should be), then Matomo is the clear winner here. 

    As an EU hosted web analytics tool, your data is stored in Europe, and no data is transferred to the US. On the other hand, if you choose to self-host, the data is stored in your country of choice.

    In addition, with cookieless tracking enabled, you can say goodbye to those pesky cookie consent screens. 

    Also, remember that under GDPR, and many other data privacy laws like CCPA and LGPD, end users have a legal right to access, amend and/or erase the personal data collected about them. 

    With Matomo you get 100% ownership of your web analytics data. This means that we don’t on-sell to third parties ; can’t claim ownership of the data ; and you can export your data at any time.

    Matomo vs GA4
    @tersmantoll via Twitter

    Wrap up

    At the end of the day, the worst thing an organisation can do is nothing. Waiting until July 2023 to migrate to GA4 or another web analytics platform would be very disruptive and costly. Organisations need to consider their options now and start migrating in the next few months. 

    With all that said, moving to Google Analytics 4 could prove to be a costly and time-consuming operation. The global trend towards increased data privacy is a threat to platforms like Google Analytics which uses data for advertising and transfers data across borders.

    With Matomo, you get an easy to use all-in-one web analytics platform and keep your historical Universal Analytics data. Plus, you can future-proof your business by being compliant with global privacy laws and get access to advanced behavioural analytics features. 

    There’s a lot to weigh up here but fortunately, getting started with Matomo is easy. Try it free for 21-days (no credit card required) and see for yourself why over 1 million websites choose Matomo. 

    While this is the end of the road for Universal Analytics, it’s also an opportune time for organisations to find a better fit web analytics tool. 

  • Concat failing with ffmpeg 5.0 vs ffmpeg 4.1.1

    16 avril 2022, par Woolwit

    I have ffmpeg 5.0 installed on a new Silicon M1 Mac Mini running Monterey and concat is failing with the same command that has served me well on ffmpeg 4.1.1 lo, all these many years. Anyone have an idea why this command would fail on the newer version of ffmpeg.
This is with the exact same mp4 files. The ffmpeg 4.1.1. completes the concat in less than a minute.

    


    ffmpeg -i vid1.mp4 -i vid2.mp4 -filter_complex "[0:v:0] [0:a:0] [1:v:0] [1:a:0] concat=n=2:v=1:a=1 [v] [a]" -map "[v]" -map "[a]" output.mp4



    


    Thank you !

    


    ffmpeg 4.1.1 Info and output...

    


    $ ffmpeg -version
ffmpeg version 4.1.1 Copyright (c) 2000-2019 the FFmpeg developers
built with Apple LLVM version 8.0.0 (clang-800.0.42.1)
configuration: --prefix=/usr/local/Cellar/ffmpeg/4.1.1 --enable-shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --enable-avresample --cc=clang --host-cflags='-I/Library/Java/JavaVirtualMachines/jdk1.8.0_202.jdk/Contents/Home/include -I/Library/Java/JavaVirtualMachines/jdk1.8.0_202.jdk/Contents/Home/include/darwin' --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom -


$ ffmpeg -i vid1.mp4 -i vid2.mp4 -filter_complex "[0:v:0] [0:a:0] [1:v:0] [1:a:0] concat=n=2:v=1:a=1 [v] [a]" -map "[v]" -map "[a]" output.mp4
ffmpeg version 4.1.1 Copyright (c) 2000-2019 the FFmpeg developers
  built with Apple LLVM version 8.0.0 (clang-800.0.42.1)
  configuration: --prefix=/usr/local/Cellar/ffmpeg/4.1.1 --enable-shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --enable-avresample --cc=clang --host-cflags='-I/Library/Java/JavaVirtualMachines/jdk1.8.0_202.jdk/Contents/Home/include -I/Library/Java/JavaVirtualMachines/jdk1.8.0_202.jdk/Contents/Home/include/darwin' --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libmp3lame --enable-libopus --enable-librubberband --enable-libsnappy --enable-libtesseract --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librtmp --enable-libspeex --enable-videotoolbox --disable-libjack --disable-indev=jack --enable-libaom --enable-libsoxr --enable-libvidstab
  libavutil      56. 22.100 / 56. 22.100
  libavcodec     58. 35.100 / 58. 35.100
  libavformat    58. 20.100 / 58. 20.100
  libavdevice    58.  5.100 / 58.  5.100
  libavfilter     7. 40.101 /  7. 40.101
  libavresample   4.  0.  0 /  4.  0.  0
  libswscale      5.  3.100 /  5.  3.100
  libswresample   3.  3.100 /  3.  3.100
  libpostproc    55.  3.100 / 55.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'vid1.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf59.16.100
  Duration: 00:00:13.01, start: 0.000000, bitrate: 1240 kb/s
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 720x480, 1103 kb/s, 29.97 fps, 29.97 tbr, 11988 tbn, 59.94 tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
Input #1, mov,mp4,m4a,3gp,3g2,mj2, from 'vid2.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf59.16.100
  Duration: 00:00:07.00, start: 0.000000, bitrate: 122 kb/s
    Stream #1:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 720x480 [SAR 1:1 DAR 3:2], 112 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #1:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 2 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
Stream mapping:
  Stream #0:0 (h264) -> concat:in0:v0
  Stream #0:1 (aac) -> concat:in0:a0
  Stream #1:0 (h264) -> concat:in1:v0
  Stream #1:1 (aac) -> concat:in1:a0
  concat:out:v0 -> Stream #0:0 (libx264)
  concat:out:a0 -> Stream #0:1 (aac)
Press [q] to stop, [?] for help
[libx264 @ 0x7fd56881dc00] using SAR=1/1
[libx264 @ 0x7fd56881dc00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.1 Cache64
[libx264 @ 0x7fd56881dc00] profile High, level 3.0
[libx264 @ 0x7fd56881dc00] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=3 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to 'output.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.20.100
    Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p(progressive), 720x480 [SAR 1:1 DAR 3:2], q=-1--1, 29.97 fps, 11988 tbn, 29.97 tbc (default)
    Metadata:
      encoder         : Lavc58.35.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
    Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      encoder         : Lavc58.35.100 aac
frame=   46 fps=0.0 q=0.0 size=       0kB time=00:00:01.55 bitrate=   0.2kbits/s spframe=   64 fps= 57 q=26.0 size=       0kB time=00:00:02.15 bitrate=   0.2kbits/s sframe=   83 fps= 51 q=29.0 size=       0kB time=00:00:02.78 bitrate=   0.1kbits/s sframe=  106 fps= 49 q=26.0 size=       0kB time=00:00:03.55 bitrate=   0.1kbits/s sframe=  131 fps= 49 q=29.0 size=     256kB time=00:00:04.38 bitrate= 478.0kbits/s sframe=  155 fps= 49 q=29.0 size=     256kB time=00:00:05.20 bitrate= 403.3kbits/s sframe=  178 fps= 48 q=29.0 size=     512kB time=00:00:05.96 bitrate= 702.9kbits/s sframe=  198 fps= 47 q=26.0 size=     512kB time=00:00:06.61 bitrate= 633.9kbits/s sframe=  218 fps= 46 q=29.0 size=     512kB time=00:00:07.26 bitrate= 577.2kbits/s sframe=  238 fps= 46 q=29.0 size=     768kB time=00:00:07.96 bitrate= 790.0kbits/s sframe=  255 fps= 44 q=29.0 size=     768kB time=00:00:08.52 bitrate= 738.3kbits/s sframe=  278 fps= 45 q=26.0 size=     768kB time=00:00:09.28 bitrate= 677.4kbits/s sframe=  296 fps= 44 q=29.0 size=    1024kB time=00:00:09.89 bitrate= 848.1kbits/s sframe=  317 fps= 43 q=29.0 size=    1024kB time=00:00:10.58 bitrate= 792.3kbits/s sframe=  333 fps= 42 q=29.0 size=    1024kB time=00:00:11.12 bitrate= 754.2kbits/s sframe=  351 fps= 42 q=29.0 size=    1024kB time=00:00:11.72 bitrate= 715.4kbits/s sframe=  363 fps= 41 q=29.0 size=    1024kB time=00:00:12.14 bitrate= 690.8kbits/s sframe=  377 fps= 40 q=29.0 size=    1280kB time=00:00:12.60 bitrate= 831.7kbits/s sframe=  389 fps= 39 q=29.0 size=    1280kB time=00:00:12.95 bitrate= 809.3kbits/s sframe=  401 fps= 38 q=29.0 size=    1280kB time=00:00:13.39 bitrate= 782.7kbits/s dframe=  410 fps= 37 q=29.0 size=    1280kB time=00:00:13.72 bitrate= 764.1kbits/s dframe=  425 fps= 37 q=29.0 size=    1536kB time=00:00:14.18 bitrate= 886.9kbits/s dframe=  446 fps= 37 q=29.0 size=    1536kB time=00:00:14.90 bitrate= 844.1kbits/s dframe=  506 fps= 40 q=29.0 size=    1536kB time=00:00:16.90 bitrate= 744.4kbits/s dframe=  564 fps= 43 q=29.0 size=    1536kB time=00:00:18.83 bitrate= 668.2kbits/s dframe=  600 fps= 44 q=-1.0 Lsize=    1807kB time=00:00:20.03 bitrate= 738.9kbits/s dup=35 drop=0 speed=1.45x    
video:1580kB audio:206kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.204253%
[libx264 @ 0x7fd56881dc00] frame I:74    Avg QP:19.97  size:  9747
[libx264 @ 0x7fd56881dc00] frame P:205   Avg QP:19.82  size:  2384
[libx264 @ 0x7fd56881dc00] frame B:321   Avg QP:20.41  size:  1269
[libx264 @ 0x7fd56881dc00] consecutive B-frames: 25.8%  5.3%  9.5% 59.3%
[libx264 @ 0x7fd56881dc00] mb I  I16..4: 17.8% 79.7%  2.5%
[libx264 @ 0x7fd56881dc00] mb P  I16..4:  2.7%  5.7%  0.7%  P16..4: 17.7%  3.1%  1.2%  0.0%  0.0%    skip:68.8%
[libx264 @ 0x7fd56881dc00] mb B  I16..4:  0.3%  1.1%  0.1%  B16..8: 18.4%  1.7%  0.2%  direct: 1.6%  skip:76.5%  L0:57.0% L1:40.0% BI: 3.0%
[libx264 @ 0x7fd56881dc00] 8x8 transform intra:75.9% inter:87.2%
[libx264 @ 0x7fd56881dc00] coded y,uvDC,uvAC intra: 54.9% 8.2% 1.3% inter: 6.5% 6.0% 0.9%
[libx264 @ 0x7fd56881dc00] i16 v,h,dc,p: 44% 34% 14%  8%
[libx264 @ 0x7fd56881dc00] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 22% 22% 30%  4%  5%  3%  5%  3%  5%
[libx264 @ 0x7fd56881dc00] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 41% 29%  1%  2%  2%  2%  1%  1%
[libx264 @ 0x7fd56881dc00] i8c dc,h,v,p: 92%  5%  1%  1%
[libx264 @ 0x7fd56881dc00] Weighted P-Frames: Y:1.5% UV:0.5%
[libx264 @ 0x7fd56881dc00] ref P L0: 58.7%  9.7% 21.6% 10.0%  0.1%
[libx264 @ 0x7fd56881dc00] ref B L0: 85.1% 11.6%  3.3%
[libx264 @ 0x7fd56881dc00] ref B L1: 95.7%  4.3%
[libx264 @ 0x7fd56881dc00] kb/s:646.32
[aac @ 0x7fd56881f400] Qavg: 23136.783
$


    


    ffmpeg 5.0 Info and output... It never completes

    


    % ffmpeg -version
ffmpeg version 5.0-tessus  https://evermeet.cx/ffmpeg/  Copyright (c) 2000-2022 the FFmpeg developers
built with Apple clang version 11.0.0 (clang-1100.0.33.17)

% ffmpeg -i vid1.mp4 -i vid2.mp4 -filter_complex "[0:v:0] [0:a:0] [1:v:0] [1:a:0] concat=n=2:v=1:a=1 [v] [a]" -map "[v]" -map "[a]" output.mp4
ffmpeg version 5.0-tessus  https://evermeet.cx/ffmpeg/  Copyright (c) 2000-2022 the FFmpeg developers
  built with Apple clang version 11.0.0 (clang-1100.0.33.17)
  configuration: --cc=/usr/bin/clang --prefix=/opt/ffmpeg --extra-version=tessus --enable-avisynth --enable-fontconfig --enable-gpl --enable-libaom --enable-libass --enable-libbluray --enable-libdav1d --enable-libfreetype --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libmysofa --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvmaf --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-version3 --pkg-config-flags=--static --disable-ffplay
  libavutil      57. 17.100 / 57. 17.100
  libavcodec     59. 18.100 / 59. 18.100
  libavformat    59. 16.100 / 59. 16.100
  libavdevice    59.  4.100 / 59.  4.100
  libavfilter     8. 24.100 /  8. 24.100
  libswscale      6.  4.100 /  6.  4.100
  libswresample   4.  3.100 /  4.  3.100
  libpostproc    56.  3.100 / 56.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'vid1.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf59.16.100
  Duration: 00:00:13.01, start: 0.000000, bitrate: 1240 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 720x480, 1103 kb/s, 29.97 fps, 29.97 tbr, 11988 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
  Stream #0:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
      vendor_id       : [0][0][0][0]
Input #1, mov,mp4,m4a,3gp,3g2,mj2, from 'vid2.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf59.16.100
  Duration: 00:00:07.00, start: 0.000000, bitrate: 122 kb/s
  Stream #1:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 720x480 [SAR 1:1 DAR 3:2], 112 kb/s, 25 fps, 25 tbr, 12800 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
  Stream #1:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 2 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
      vendor_id       : [0][0][0][0]
Stream mapping:
  Stream #0:0 (h264) -> concat
  Stream #0:1 (aac) -> concat
  Stream #1:0 (h264) -> concat
  Stream #1:1 (aac) -> concat
  concat -> Stream #0:0 (libx264)
  concat -> Stream #0:1 (aac)
Press [q] to stop, [?] for help
[mp4 @ 0x7fbab280dbc0] Frame rate very high for a muxer not efficiently supporting it.
Please consider specifying a lower framerate, a different muxer or -vsync 2
[libx264 @ 0x7fbab280e840] using SAR=1/1
[libx264 @ 0x7fbab280e840] MB rate (1350000000) > level limit (16711680)
[libx264 @ 0x7fbab280e840] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
[libx264 @ 0x7fbab280e840] profile High, level 6.2, 4:2:0, 8-bit
[libx264 @ 0x7fbab280e840] 264 - core 164 r3081 19856cc - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to 'output.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf59.16.100
  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(progressive), 720x480 [SAR 1:1 DAR 3:2], q=2-31, 1000k tbn
    Metadata:
      encoder         : Lavc59.18.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
  Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s
    Metadata:
      encoder         : Lavc59.18.100 aac
frame=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.23 bitrate=   1.7kbits/sMore than 1000 frames duplicated
frame=33367 fps=843 q=33.0 size=    2048kB time=00:00:00.27 bitrate=60212.7kbitsMore than 10000 frames duplicatedx    
frame=66733 fps=841 q=33.0 size=    4352kB time=00:00:00.32 bitrate=109671.7kbitMore than 100000 frames duplicatedx    
frame=100100 fps=825 q=33.0 size=    6656kB time=00:00:00.34 bitrate=156550.4kbiframe=133467 fps=806 q=33.0 size=    8704kB time=00:00:00.39 bitrate=180634.7kbiframe=166834 fps=810 q=33.0 size=   11008kB time=00:00:00.41 bitrate=215757.8kbiframe=200200 fps=812 q=33.0 size=   13312kB time=00:00:00.46 bitrate=234824.6kbiframe=233567 fps=814 q=33.0 size=   153
...