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    Utilité
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  • Les formats acceptés

    28 janvier 2010, par

    Les commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
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    Les format videos acceptés en entrée
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    Dans un premier temps on (...)

  • La sauvegarde automatique de canaux SPIP

    1er avril 2010, par

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Sur d’autres sites (6869)

  • Data Privacy Issues to Be Aware of and How to Overcome Them

    9 mai 2024, par Erin

    Data privacy issues are a significant concern for users globally.

    Around 76% of US consumers report that they would not buy from a company they do not trust with their data. In the European Union, a 2021 study found that around 53% of EU internet users refused to let companies access their data for advertising purposes.

    These findings send a clear message : if companies want to build consumer trust, they must honour users’ data privacy concerns. The best way to do this is by adopting transparent, ethical data collection practices — which also supports the simultaneous goal of maintaining compliance with regional data privacy acts.

    So what exactly is data privacy ?

    Explanation of the term data privacy

    Data privacy refers to the protections that govern how personal data is collected and used, especially with respect to an individual’s control over when, where and what information they share with others.

    Data privacy also refers to the extent to which organisations and governments go to protect the personal data that they collect. Different parts of the world have different data privacy acts. These regulations outline the measures organisations must take to safeguard the data they collect from their consumers and residents. They also outline the rights of data subjects, such as the right to opt out of a data collection strategy and correct false data. 

    As more organisations rely on personal data to provide services, people have become increasingly concerned about data privacy, particularly the level of control they have over their data and what organisations and governments do with their data.

    Why should organisations take data privacy issues seriously ?

    Organisations should take data privacy seriously because consumer trust depends on it and because they have a legal obligation to do so. Doing so also helps organisations prevent threat actors from illegally accessing consumer data. Strong data privacy helps you : 

    Comply with data protection acts

    Organisations that fail to comply with regional data protection acts could face severe penalties. For example, consider the General Data Protection Regulation (GDPR), which is the primary data protection action for the European Union. The penalty system for GDPR fines consists of two tiers :

    • Less severe infringements — Which can lead to fines of up to €10 million (or 2% of an organisation’s worldwide annual revenue from the last financial year) per infringement.
    • More severe infringements — This can lead to fines of up to €20 million (or 4% of an organisation’s worldwide annual revenue from the last financial year) per infringement.

    The monetary value of these penalties is significant, so it is in the best interest of all organisations to be GDPR compliant. Other data protection acts have similar penalty systems to the GDPR. In Brazil, organisations non-compliant with the Lei Geral de Proteção de Dados Pessoais (LGPD) could be fined up to 50 million reals (USD 10 million) or 2% of their worldwide annual revenue from the last financial year.

    Improve brand reputation

    Research shows that 81% of consumers feel that how an organisation treats their data reflects how they treat them as a consumer. This means a strong correlation exists between how people perceive an organisation’s data collection practices and their other business activities.

    Statistic on data privacy and brand reputation

    Data breaches can have a significant impact on an organisation, especially their reputation and level of consumer trust. In 2022, hackers stole customer data from the Australian private health insurance company, Medibank, and released the data onto the dark web. Optus was also affected by a cyberattack, which compromised the information of current and former customers. Following these events, a study by Nature revealed that 83 percent of Australians were concerned about the security of their data, particularly in the hands of their service providers.

    Protect consumer data

    Protecting consumer data is essential to preventing data breaches. Unfortunately, cybersecurity attacks are becoming increasingly sophisticated. In 2023 alone, organisations like T-Mobile and Sony have been compromised and their data stolen.

    One way to protect consumer data is to retain 100% data ownership. This means that no external parties can see your data. You can achieve this with the web analytics platform, Matomo. With Matomo, you can store your own data on-premises (your own servers) or in the Cloud. Under both arrangements, you retain full ownership of your data.

    Try Matomo for Free

    Get the web insights you need, while respecting user privacy.

    No credit card required

    What are the most pressing data privacy issues that organisations are facing today ?

    Today’s most pressing data privacy challenges organisations face are complying with new data protection acts, maintaining consumer trust, and choosing the right web analytics platform. Here is a detailed breakdown of what these challenges mean for businesses.

    Complying with new and emerging data protection laws

    Ever since the European Union introduced the GDPR in 2018, other regions have enacted similar data protection acts. In the United States, California (CCPA), Virginia (VCDPA) and Colorado have their own state-level data protection acts. Meanwhile, Brazil and China have the General Data Protection Law (LGPD) and the Personal Information Protection Law (PIPL), respectively.

    For global organisations, complying with multiple data protection acts can be tough, as each act interprets the GDPR model differently. They each have their own provisions, terminology (or different interpretations of the same terminology), and penalties.

    A web analytics platform like Matomo can help your organisation comply with the GDPR and similar data protection acts. It has a range of privacy-friendly features including data anonymisation, IP anonymisation, and first-party cookies by default. You can also create and publish custom opt-out forms and let visitors view your collected data.

    The US is one of the few countries to not have a national data protection standard

    Today’s most pressing data privacy challenges organisations face are complying with new data protection acts, maintaining consumer trust, and choosing the right web analytics platform. Here is a detailed breakdown of what these challenges mean for businesses.

    Complying with new and emerging data protection laws

    Ever since the European Union introduced the GDPR in 2018, other regions have enacted similar data protection acts. In the United States, California (CCPA), Virginia (VCDPA) and Colorado have their own state-level data protection acts. Meanwhile, Brazil and China have the General Data Protection Law (LGPD) and the Personal Information Protection Law (PIPL), respectively.

    For global organisations, complying with multiple data protection acts can be tough, as each act interprets the GDPR model differently. They each have their own provisions, terminology (or different interpretations of the same terminology), and penalties.

    A web analytics platform like Matomo can help your organisation comply with the GDPR and similar data protection acts. It has a range of privacy-friendly features including data anonymisation, IP anonymisation, and first-party cookies by default. You can also create and publish custom opt-out forms and let visitors view your collected data.

    Try Matomo for Free

    Get the web insights you need, while respecting user privacy.

    No credit card required

    Maintaining consumer trust

    Building (and maintaining) consumer trust is a major hurdle for organisations. Stories about data breaches and data scandals — notably the Cambridge Analytical scandal — instil fear into the public’s hearts. After a while, people wonder, “Which company is next ?”

    One way to build and maintain trust is to be transparent about your data collection practices. Be open and honest about what data you collect (and why), where you store the data (and for how long), how you protect the data and whether you share data with third parties. 

    You should also prepare and publish your cyber incident response plan. Outline the steps you will take to contain, assess and manage a data breach.

    Choosing the right web analytics platform

    Organisations use web analytics to track and monitor web traffic, manage advertising campaigns and identify potential revenue streams. The most widely used web analytics platform is Google Analytics ; however, many users have raised concerns about privacy issues

    When searching for a Google Analytics alternative, consider a web analytics platform that takes data privacy seriously. Features like cookieless tracking, data anonymisation and IP anonymisation will let you track user activity without collecting personal data. Custom opt-out forms will let your web visitors enforce their data subject rights.

    What data protection acts exist right now ?

    The United States, Australia, Europe and Brazil each have data protection laws.

    As time goes on and more countries introduce their own data privacy laws, it becomes harder for organisations to adapt. Understanding the basics of each act can help streamline compliance. Here is what you need to know about the latest data protection acts.

    General Data Protection Regulation (GDPR)

    The GDPR is a data protection act created by the European Parliament and Council of the European Union. It comprises 11 chapters covering the general provisions, principles, data subject rights, penalties and other relevant information.

    The GDPR established a framework for organisations and governments to follow regarding the collection, processing, storing, transferring and deletion of personal data. Since coming into effect on 25 May 2018, other countries have used the GDPR as a model to enact similar data protection acts.

    General Data Protection Law (LGPD)

    The LGPD is Brazil’s main data protection act. The Federal Republic of Brazil signed the act on August 14, 2018, and it officially commenced on August 16, 2020. The act aimed to unify the 40 Brazilian laws that previously governed the country’s approach to processing personal data.

    Like the GDPR, the LGPD serves as a legal framework to regulate the collection and usage of personal data. It also outlines the duties of the national data protection authority, the Autoridade Nacional de Proteção de Dados (ANPD), which is responsible for enforcing the LGPD.

    Privacy Amendment (Notifiable Data Breaches) for the Privacy Act 1988

    Established by the Australian House of Representatives, the Privacy Act 1988 outlines how organisations and governments must manage personal data. The federal government has amended the Privacy Act 1988 twice — once in 2000, and again in 2014 — and is committing to a significant overhaul.

    The new proposals will make it easier for individuals to opt out of data collection, organisations will have to destroy collected data after a reasonable period, and small businesses will no longer be exempt from the Privacy Act.

    United States

    The US is one of the few countries to not have a national data protection standard

    The United States does not have a federally mandated data protection act. Instead, each state has been gradually introducing its data protection acts, with the first being California, followed by Virginia and Colorado. Over a dozen other states are following suit, too.

    • California — The then-Governor of California Jerry Brown signed the California Consumer Privacy Act (CCPA) into law on June 28, 2018. The act applies to organisations with gross annual revenue of more than USD 25 million, and that buy or sell products and services to 100,000 or more households or consumers.
    • Virginia — The Virginia Consumer Data Protection Act (VCDPA) took effect on January 1, 2023. It applies to organisations that process (or control) the personal data of 100,000 or more consumers in a financial year. It also applies to organisations that process (or control) the personal data of 25,000 or more consumers and gain more than 50% of gross revenue by selling that data.
    • Colorado — Colorado Governor Jared Polis signed the Colorado Privacy Act (ColoPA) into law in July 2021. The act applies to organisations that process (or control) the personal data of 100,000 or more Colorado residents annually. It also applies to organisations that earn revenue from the sale of personal data of at least 25,000 Colorado residents.

    Because the US regulations are a patchwork of differing legal acts, compliance can be a complicated endeavour for organisations operating across multiple jurisdictions. 

    How can organisations comply with data protection acts ?

    One way to ensure compliance is to keep up with the latest data protection acts. But that is a very time-consuming task.

    Over 16 US states are in the process of signing new acts. And countries like China, Turkey and Australia are about to overhaul — in a big way — their own data privacy protection acts. 

    Knowledge is power. But you also have a business to run, right ? 

    That’s where Matomo comes in.

    Streamline data privacy compliance with Matomo

    Although data privacy is a major concern for individuals and companies operating in multiple parts of the world — as they must comply with new, conflicting data protection laws — it is possible to overcome the biggest data privacy issues.

    Matomo enables your visitors to take back control of their data. You can choose where you store your data on-premises and in the Cloud (EU-based). You can use various features, retain 100% data ownership, protect visitor privacy and ensure compliance.

    Try the 21-day free trial of Matomo today, start your free analytics trial. No credit card required.

  • Assembling frames into a video in Node.js using fluent-ffmpeg [closed]

    14 novembre 2024, par Andrei

    I have the original video and it's modified frames in a folder. Now I want to assemble the modified frames into a new video. I also want to take the audio from the original video and add it to the new video.

    


    My latest code is this using fluent-ffmpeg. But it's not working.

    


    await new Promise((resolve, reject) => {
  ffmpeg(path.join(processedFramesDir, "frame-%d.png"))
    .inputOptions(["-framerate 30", "-start_number 1"])
    .input(videoPath)
    .outputOptions([
      "-c:v",
      "libx264",
      "-c:a",
      "copy",
      "-shortest",
      "-r",
      "30",
      "-pix_fmt",
      "yuv420p",
    ])
    .outputOptions(["-map 0:v:0", "-map 1:a:0"])
    .save(outputVideoPath)
    .on("start", (commandLine) => {
      console.log("FFmpeg command: " + commandLine);
    })
    .on("stderr", (stderrLine) => {
      console.log("FFmpeg stderr: " + stderrLine);
    })
    .on("end", resolve)
    .on("error", (err, stdout, stderr) => {
      console.error("Error assembling video:", err);
      console.error("FFmpeg stderr:", stderr);
      reject(err);
    });
});


    


    I get this error even though the frames exist and they are valid pngs :&#xA;FFmpeg command: ffmpeg -framerate 30 -start_number 1 -i /tmp/video-processing-CyULOE/processedFrames/frame-%05d.png -i /tmp/video-processing-CyULOE/input.mp4 -y -c:v libx264 -c:a copy -shortest -r 30 -pix_fmt yuv420p -map 0:v:0 -map 1:a:0 /tmp/video-processing-CyULOE/output.mp4 2024-11-13 23:40:27 FFmpeg stderr: ffmpeg version 4.1.11-0&#x2B;deb10u1 Copyright (c) 2000-2023 the FFmpeg developers 2024-11-13 23:40:27 FFmpeg stderr:   built with gcc 8 (Debian 8.3.0-6) 2024-11-13 23:40:27 FFmpeg stderr:   configuration: --prefix=/usr --extra-version=0&#x2B;deb10u1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared 2024-11-13 23:40:27 FFmpeg stderr:   libavutil      56. 22.100 / 56. 22.100 2024-11-13 23:40:27 FFmpeg stderr:   libavcodec     58. 35.100 / 58. 35.100 2024-11-13 23:40:27 FFmpeg stderr:   libavformat    58. 20.100 / 58. 20.100 2024-11-13 23:40:27 FFmpeg stderr:   libavdevice    58.  5.100 / 58.  5.100 2024-11-13 23:40:27 FFmpeg stderr:   libavfilter     7. 40.101 /  7. 40.101 2024-11-13 23:40:27 FFmpeg stderr:   libavresample   4.  0.  0 /  4.  0.  0 2024-11-13 23:40:27 FFmpeg stderr:   libswscale      5.  3.100 /  5.  3.100 2024-11-13 23:40:27 FFmpeg stderr:   libswresample   3.  3.100 /  3.  3.100 2024-11-13 23:40:27 FFmpeg stderr:   libpostproc    55.  3.100 / 55.  3.100 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646F8A20000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646C89F0000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x524946464EA10000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x5249464628A40000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646AAA30000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x524946467CA10000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646AAA30000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646BAA10000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646ACA30000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x5249464670A80000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646E8A60000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x524946469AA60000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x5249464672A90000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646B8A50000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646AAA80000. 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x52494646A0A70000. 2024-11-13 23:40:27 FFmpeg stderr:     Last message repeated 1 times 2024-11-13 23:40:27 FFmpeg stderr: [png @ 0x5630fb89a880] Invalid PNG signature 0x5249464646A80000. 2024-11-13 23:40:27 FFmpeg stderr: [image2 @ 0x5630fb898a40] decoding for stream 0 failed 2024-11-13 23:40:27 FFmpeg stderr: [image2 @ 0x5630fb898a40] Could not find codec parameters for stream 0 (Video: png, none(pc)): unspecified size 2024-11-13 23:40:27 FFmpeg stderr: Consider increasing the value for the &#x27;analyzeduration&#x27; and &#x27;probesize&#x27; options 2024-11-13 23:40:27 FFmpeg stderr: Input #0, image2, from &#x27;/tmp/video-processing-CyULOE/processedFrames/frame-%05d.png&#x27;: 2024-11-13 23:40:27 FFmpeg stderr:   Duration: 00:00:00.60, start: 0.000000, bitrate: N/A 2024-11-13 23:40:27 FFmpeg stderr:     Stream #0:0: Video: png, none(pc), 30 fps, 30 tbr, 30 tbn, 30 tbc 2024-11-13 23:40:28 FFmpeg stderr: Input #1, mov,mp4,m4a,3gp,3g2,mj2, from &#x27;/tmp/video-processing-CyULOE/input.mp4&#x27;: 2024-11-13 23:40:28 FFmpeg stderr:   Metadata: 2024-11-13 23:40:28 FFmpeg stderr:     major_brand     : isom 2024-11-13 23:40:28 FFmpeg stderr:     minor_version   : 512 2024-11-13 23:40:28 FFmpeg stderr:     compatible_brands: isomiso2avc1mp41 2024-11-13 23:40:28 FFmpeg stderr:     encoder         : Lavf60.16.100 2024-11-13 23:40:28 FFmpeg stderr:   Duration: 00:00:00.62, start: 0.000000, bitrate: 4289 kb/s 2024-11-13 23:40:28 FFmpeg stderr:     Stream #1:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 1920x1080 [SAR 1:1 DAR 16:9], 4395 kb/s, 30 fps, 30 tbr, 15360 tbn, 60 tbc (default) 2024-11-13 23:40:28 FFmpeg stderr:     Metadata: 2024-11-13 23:40:28 FFmpeg stderr:       handler_name    : VideoHandler 2024-11-13 23:40:28 FFmpeg stderr:     Stream #1:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 2 kb/s (default) 2024-11-13 23:40:28 FFmpeg stderr:     Metadata: 2024-11-13 23:40:28 FFmpeg stderr:       handler_name    : SoundHandler 2024-11-13 23:40:28 FFmpeg stderr: Stream mapping: 2024-11-13 23:40:28 FFmpeg stderr:   Stream #0:0 -> #0:0 (png (native) -> h264 (libx264)) 2024-11-13 23:40:28 FFmpeg stderr:   Stream #1:1 -> #0:1 (copy) 2024-11-13 23:40:28 FFmpeg stderr: Press [q] to stop, [?] for help 2024-11-13 23:40:28 FFmpeg stderr: [image2 @ 0x5630fb898a40] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8) 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb9b7700] Invalid PNG signature 0x52494646F8A20000. 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb988dc0] Invalid PNG signature 0x52494646C89F0000. 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba3edc0] Invalid PNG signature 0x524946464EA10000. 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba40600] Invalid PNG signature 0x5249464628A40000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb8c7900] Invalid PNG signature 0x52494646AAA30000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb9b7700] Invalid PNG signature 0x524946467CA10000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb988dc0] Invalid PNG signature 0x52494646AAA30000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba3edc0] Invalid PNG signature 0x52494646BAA10000. 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba40600] Invalid PNG signature 0x52494646ACA30000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr:     Last message repeated 1 times 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb8c7900] Invalid PNG signature 0x5249464670A80000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb9b7700] Invalid PNG signature 0x52494646E8A60000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb988dc0] Invalid PNG signature 0x524946469AA60000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba3edc0] Invalid PNG signature 0x5249464672A90000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba40600] Invalid PNG signature 0x52494646B8A50000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb8c7900] Invalid PNG signature 0x52494646AAA80000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb9b7700] Invalid PNG signature 0x52494646A0A70000. 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fb988dc0] Invalid PNG signature 0x52494646A0A70000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr: [png @ 0x5630fba3edc0] Invalid PNG signature 0x5249464646A80000. 2024-11-13 23:40:28 FFmpeg stderr: Error while decoding stream #0:0: Invalid data found when processing input 2024-11-13 23:40:28 FFmpeg stderr:     Last message repeated 4 times 2024-11-13 23:40:28 FFmpeg stderr: Cannot determine format of input stream 0:0 after EOF 2024-11-13 23:40:28 FFmpeg stderr: Error marking filters as finished 2024-11-13 23:40:28 FFmpeg stderr: Conversion failed! 2024-11-13 23:40:28 FFmpeg stderr:  2024-11-13 23:40:28 Error assembling video: Error: ffmpeg exited with code 1: Cannot determine format of input stream 0:0 after EOF 2024-11-13 23:40:28 Error marking filters as finished 2024-11-13 23:40:28 Conversion failed! 2024-11-13 23:40:28  2024-11-13 23:40:28     at ChildProcess.<anonymous> (/usr/src/app/node_modules/fluent-ffmpeg/lib/processor.js:180:22) 2024-11-13 23:40:28     at ChildProcess.emit (node:events:519:28) 2024-11-13 23:40:28     at ChildProcess._handle.onexit (node:internal/child_process:294:12)</anonymous>

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    ffmpeg(videoPath) .screenshots({ folder: framesDir, filename: "frame-%i.png", size: "?x1080", count: 10, }) .on("end", resolve) .on("error", reject);&#xA;

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  • Top Conversion Metrics to Track in 2024

    22 janvier 2024, par Erin

    2023 boasts  2.64 billion online shoppers worldwide ; that’s more than a third of the global population. With these numbers on an upward trajectory in 2024, conversion metrics are more important than ever to help marketers optimise the online shopping experience. 

    In this article, we’ll provide predictions for the most important conversion metrics you should keep track of in 2024. We’ll also examine how social media can make or break your brand engagement strategy. Keep reading to stay ahead of the competition for 2024 and gain tips and tricks for improving conversion performance.

    What are conversion metrics ?

    In technical terms, conversion metrics are the quantifiable measurements used to track the success of specific outcomes on a website or marketing campaign. Conversion metrics demonstrate how well your website prompts visitors to take desirable actions, like signing up for a newsletter, making a purchase, or filling out a form, for instance.

    Let’s say you’re running a lemonade stand, and you want to compare the number of cups sold to the number of people who approached your stand (your conversion rate). This ratio of cups sold to the total number of people can help you reassess your sales approach. If the ratio is low, you might reconsider your approach ; if it’s high, you can analyse what makes your technique successful and double down.

    A woman holding a magnifying glass up to her eye

    In 2023, we saw the average conversion rate for online shopping grow by 5.53% compared to the previous year. An increase in conversion rate typically indicates a higher percentage of website visitors converting to buyers. It can also be a good sign for marketing teams that marketing campaigns are more effective, and website experiences are more user-friendly than the previous year. 

    Conversion metrics are a marketers’ bread and butter. Whether it’s through measuring the efficacy of campaigns, honing in on the most effective marketing channels or understanding customer behaviour — don’t underestimate the power of conversion metrics. 

    Conversion rate vs. conversion value 

    Before we dive into the top conversion metrics to track in 2024, let’s clear up any confusion about the difference between conversion rate and conversion value. Conversion rate is a metric that measures the ratio of website visitors/users who complete a conversion action to the total number of website visitors/users. Conversion rates are communicated as percentages.

    A conversion action can mean many different things depending on your product or service. Some examples of conversion actions that website visitors can take include : 

    • Making a purchase
    • Filling out a form
    • Subscribing to a newsletter
    • Any other predefined goal

    Conversion rate is arguably one of the most valuable conversion metrics if you want to pinpoint areas for improvement in your marketing strategy and user experience (UX).

    A good conversion rate completely depends on the type of conversion being measured. Shopify has reported that the average e-commerce conversion rate will be 2.5%-3% in 2023, so if you fall anywhere in this range, you’re in good shape. Below is a visual aid for how you can calculate conversion rate depending on which conversion actions you decide to track :

    Conversion rate formula calculation

    Conversion value is also a quantifiable metric, but there’s a key difference : conversion value assigns a numerical value to each conversion based on the monetary value of the completed conversion action. Conversion value is not calculated with a formula but is assigned based on revenue generated from the conversion. Conversion value is important for calculating marketing efforts’ return on investment (ROI) and is often used to allocate marketing budgets better. 

    Both conversion rate and conversion value are vital metrics in digital marketing. When used in tandem, they can provide a holistic perspective on your marketing efforts’ financial impact and success. 

    9 important conversion metrics to track in 2024

    Based on research and results from 2023, we have compiled this list of predictions for the most important metrics to track in 2024. 

    A computer screen and mobile device surrounded by various metrics and chart icons

    1. Conversion rate 

    To start things out strong, we’ve got the timeless and indispensable conversion rate. As we discussed in the previous section, conversion rate measures how successfully your website convinces visitors to take important actions, like making purchases or signing up for newsletters. 

    An easy-to-use web analytics solution like Matomo can help in tracking conversion rates. Matomo automatically calculates conversion rates of individual pages, overall website and on a goal-by-goal basis. So you can compare the conversion rate of your newsletter sign up goal vs a form submission goal on your site and see what is underperforming and requires improvement.

    Conversion rates by different Goals in Matomo dashboard

    In the example above in Matomo, it’s clear that our goal of getting users to comment is not doing well, with only a 0.03% conversion rate. To improve our website’s overall conversion rate, we should focus our efforts on improving the user commenting experience.

    For 2024, we predict that the conversion rate will be just as important to track as in 2023. 

    2. Average visit duration

    This key metric tracks how long users spend on your website. A session typically starts when a user lands on your website and ends when they close the browser or have been inactive for some time ( 30 minutes). Tracking the average visit duration can help you determine how well your content captures users’ attention or how engaged users are when navigating your website. 

    Average Visit Duration = Total Time Spent / Number of Visits

    Overview of visits and average visit duration in Matomo

    Web analytics tools like Matomo help in monitoring conversion rate metrics like average visit duration. Timestamps are assigned to each interaction within a visit, so that average visit duration can be calculated. Analysing website visit information like average visit duration allows you to evaluate the relevance of your content with your target audience. 

    3. Starter rate

    If your business relies on getting leads through forms, paying attention to Form Analytics is crucial for improving conversion rates. The “starter rate” metric is particularly important—it indicates the number of who people start filling out the form, after seeing it. 

    When you’re working to increase conversion rates and capture more leads, keeping an eye on the starter rate helps you understand where users might encounter issues or lose interest early in the form-filling process. Addressing these issues can simplify the form-filling experience and increase the likelihood of successful lead captures.

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    Concrete CMS tripled their leads using Form Analytics in Matomo—see how in their case study.

    4. Bounce rate

    Bounce rate reflects the percentage of visitors who exit your site after interacting with a single page. Bounce rate is an important metric for understanding how relevant your content is to visitors or how optimised your user experience is. A high bounce rate can indicate that visitors are having trouble navigating your website or not finding what they’re looking for. 

    Matomo automatically calculates bounce rate on each page and for your overall website.

    Bounce rate trends in Matomo dashboard

    Bounce Rate = (# of Single-Page Sessions / Total # of Sessions) * 100

    5. Cost-per-conversion

    This metric quantifies the average cost incurred for each conversion action (i.e., sale, acquired lead, sign-up, etc.). Marketers use cost-per-conversion to assess the cost efficiency of a marketing campaign. You want to aim for a lower cost-per-conversion, meaning your advertising efforts aren’t breaking the bank. A high cost-per-conversion could be acceptable in luxury industries, but it often indicates a low marketing ROI. 

    Cost-per-Conversion = Ad Spend / # of Conversions

    By connecting your Matomo with Google Ads through Advertising Conversion Export feature in Matomo, you can keep tabs on your conversions right within the advertising platform. This feature also works with Microsoft Advertising and Yandex Ads.

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    6. Average order value (AOV)

    AOV is a conversion metric that calculates the average monetary value of each order. AOV is crucial for helping e-commerce businesses understand the value of their transactions. A high AOV means buyers spend more per transaction and could be more easily influenced by upselling or cross-selling. Low AOV isn’t necessarily bad — you can compensate for a low AOV by boosting transaction volume. 

    Evolution of average order value (AOV) in Matomo

    AOV = Total Revenue / Total # of Orders 

    Matomo automatically tracks important e-commerce metrics such as AOV, the percentage of visits with abandoned carts and the conversion rate for e-commerce orders.

    7. Exit rate

    Exit rate measures the percentage of visitors who leave a specific webpage after viewing it. Exit rate differs from bounce rate in that it focuses on the last page visitors view before leaving the site. A high exit rate should be examined to identify issues with visitors abandoning the specific page. 

    Exit Rate = (# of Exits from a Page / Total # of Pageviews for that Page) * 100

    Matomo dashboard showing exit rate by page

    In the Matomo report above, it’s clear that 77% of visits to the diving page ended after viewing it (exit rate), while 23% continued exploring. 

    On the other hand, our products page shows a lower exit rate at 36%, suggesting that more visitors continue navigating through the site after checking out the products.

    How to improve your conversion performance 

    If you’re curious about improving your conversion performance, this section is designed to guide you through that exact process.

    A bar graph with an orange arrow showing an increasing trend

    Understand your target audience and their behaviour

    You may need to return to the drawing board if you’re noticing high bounce rates or a lack of brand engagement. In-depth audience analysis can unveil user demographics, preferences and behaviours. This type of user data is crucial for building user personas, segmenting your visitors and targeting marketing campaigns accordingly.

    You can segment your website visitors in a number of web analytics solutions, but for the example below, we’ll look at segmenting in Matomo. 

    Segmented view of mobile users in Matomo

    In this instance, we’ve segmented visitors by mobile users. This helps us see how mobile users are doing with our newsletter signup goal and identify the countries where they convert the most. It also shows how well mobile users are doing with our conversion goal over time.

    It’s clear that our mobile users are converting at a very low rate—just 0.01%. This suggests there’s room for improvement in the mobile experience on our site.

    Optimise website design, landing pages, page loading speed and UX

    A slow page loading speed can result in high exit rates, user dissatisfaction and lost revenue. Advanced web analytics solutions like Matomo, which provides heatmaps and session recordings, can help you find problems in your website design and understand how users interact with it.

    Making a website that focuses on users and has an easy-to-follow layout will make the user experience smooth and enjoyable.

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    Create compelling calls-to-action (CTA)

    Research shows that a strategically placed and relevant CTA can significantly increase your revenue. CTAs guide prospects toward conversion and must have a compelling and clear message. 

    You can optimise CTAs by analysing how users interact with them — this helps you tailor them to better resonate with your target audience. 

    A/B testing

    A/B testing can improve your conversion performance by allowing you to experiment with different versions of a web page. By comparing the impact of different web page elements on conversions, you can optimise your website with confidence. 

    Key conversion metrics takeaways

    Whether understanding user behaviour to develop a more intuitive user experience or guessing which marketing channel is the most effective, conversion metrics can be a marketer’s best friend. Conversion metrics help you save time, money and headaches when making your campaigns and website as effective as possible. 

    Make improving conversion rates easier with Matomo, a user-friendly all-in-one solution. Matomo ensures reliable insights by delivering accurate data while prioritising compliance and privacy.

    Get quality insights from your conversion metrics by trying Matomo free for 21 days. No credit card required.