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  • Data Privacy in Business : A Risk Leading to Major Opportunities

    9 août 2022, par Erin — Privacy

    Data privacy in business is a contentious issue. 

    Claims that “big data is the new oil of the digital economy” and strong links between “data-driven personalisation and customer experience” encourage leaders to set up massive data collection programmes.

    However, many of these conversations downplay the magnitude of security, compliance and ethical risks companies face when betting too much on customer data collection. 

    In this post, we discuss the double-edged nature of privacy issues in business — the risk-ridden and the opportunity-driven. ​​

    3 Major Risks of Ignoring Data Privacy in Business

    As the old adage goes : Just because everyone else is doing it doesn’t make it right.

    Easy data accessibility and ubiquity of analytics tools make data consumer collection and processing sound like a “given”. But the decision to do so opens your business to a spectrum of risks. 

    1. Compliance and Legal Risks 

    Data collection and customer privacy are protected by a host of international laws including GDPR, CCPA, and regional regulations. Only 15% of countries (mostly developing ones) don’t have dedicated laws for protecting consumer privacy. 

    State of global data protection legislature via The UN

    Global legislature includes provisions on : 

    • Collectible data types
    • Allowed uses of obtained data 
    • Consent to data collection and online tracking 
    • Rights to request data removal 

    Personally identifiable information (PII) processing is prohibited or strictly regulated in most jurisdictions. Yet businesses repeatedly circumnavigate existing rules and break them on occasion.

    In Australia, for example, only 2% of brands use logos, icons or messages to transparently call out online tracking, data sharing or other specific uses of data at the sign-up stage. In Europe, around half of small businesses are still not fully GDPR-compliant — and Big Tech companies like Google, Amazon and Facebook can’t get a grip on their data collection practices even when pressed with horrendous fines. 

    Although the media mostly reports on compliance fines for “big names”, smaller businesses are increasingly receiving more scrutiny. 

    As Max Schrems, an Austrian privacy activist and founder of noyb NGO, explained in a Matomo webinar :

    “In Austria, my home country, there are a lot of €5,000 fines going out there as well [to smaller businesses]. Most of the time, they are just not reported. They just happen below the surface. [GDPR fines] are already a reality.”​

    In April 2022, the EU Court of Justice ruled that consumer groups can autonomously sue businesses for breaches of data protection — and nonprofit organisations like noyb enable more people to do so. 

    Finally, new data privacy legislation is underway across the globe. In the US, Colorado, Connecticut, Virginia and Utah have data protection acts at different stages of approval. South African authorities are working on the Protection of Personal Information Act (POPI) act and Brazil is working on a local General Data Protection Law (LGPD).

    Re-thinking your stance on user privacy and data protection now can significantly reduce the compliance burden in the future. 

    2. Security Risks 

    Data collection also mandates data protection for businesses. Yet, many organisations focus on the former and forget about the latter. 

    Lenient attitudes to consumer data protection resulted in a major spike in data breaches.

    Check Point research found that cyberattacks increased 50% year-over-year, with each organisation facing 925 cyberattacks per week globally.

    Many of these attacks end up being successful due to poor data security in place. As a result, billions of stolen consumer records become publicly available or get sold on dark web marketplaces.

    What’s even more troublesome is that stolen consumer records are often purchased by marketing firms or companies, specialising in spam campaigns. Buyers can also use stolen emails to distribute malware, stage phishing and other social engineering attacks – and harvest even more data for sale. 

    One business’s negligence creates a snowball effect of negative changes down the line with customers carrying the brunt of it all. 

    In 2020, hackers successfully targeted a Finnish psychotherapy practice. They managed to steal hundreds of patient records — and then demanded a ransom both from the firm and its patients for not exposing information about their mental health issues. Many patients refused to pay hackers and some 300 records ended up being posted online as Associated Press reported.

    Not only did the practice have to deal with the cyber-breach aftermath, but it also faced vocal regulatory and patient criticisms for failing to properly protect such sensitive information.

    Security negligence can carry both direct (heavy data breach fines) and indirect losses in the form of reputational damages. An overwhelming 90% of consumers say they wouldn’t buy from a business if it doesn’t adequately protect their data. This brings us to the last point. 

    3. Reputational Risks 

    Trust is the new currency. Data negligence and consumer privacy violations are the two fastest ways to lose it. 

    Globally, consumers are concerned about how businesses collect, use, and protect their data. 

    Consumer data sharing attitudes
    • According to Forrester, 47% of UK adults actively limit the amount of data they share with websites and apps. 49% of Italians express willingness to ask companies to delete their personal data. 36% of Germans use privacy and security tools to minimise online tracking of their activities. 
    • A GDMA survey also notes that globally, 82% of consumers want more control over their personal information, shared with companies. 77% also expect brands to be transparent about how their data is collected and used. 

    When businesses fail to hold their end of the bargain — collect just the right amount of data and use it with integrity — consumers are fast to cut ties. 

    Once the information about privacy violations becomes public, companies lose : 

    • Brand equity 
    • Market share 
    • Competitive positioning 

    An AON report estimates that post-data breach companies can lose as much as 25% of their initial value. In some cases, the losses can be even higher. 

    In 2015, British telecom TalkTalk suffered from a major data breach. Over 150,000 customer records were stolen by hackers. To contain the issue, TalkTalk had to throw between $60-$70 million into containment efforts. Still, they lost over 100,000 customers in a matter of months and one-third of their company value, equivalent to $1.4 billion, by the end of the year. 

    Fresher data from Infosys gives the following maximum cost estimates of brand damage, companies could experience after a data breach (accidental or malicious).

    Estimated cost of brand damage due to a data breach

    3 Major Advantages of Privacy in Business 

    Despite all the industry mishaps, a reassuring 77% of CEOs now recognise that their companies must fundamentally change their approaches to customer engagement, in particular when it comes to ensuring data privacy. 

    Many organisations take proactive steps to cultivate a privacy-centred culture and implement transparent data collection policies. 

    Here’s why gaining the “privacy advantage” pays off.

    1. Market Competitiveness 

    There’s a reason why privacy-focused companies are booming. 

    Consumers’ mounting concerns and frustrations over the lack of online privacy, prompt many to look for alternative privacy-centred products and services

    The following B2C and B2B products are moving from the industry margins to the mainstream : 

    Across the board, consumers express greater trust towards companies, protective of their privacy : 

    And as we well know : trust translates to higher engagement, loyalty, and – ultimately revenue. 

    By embedding privacy into the core of your product, you give users more reasons to select, stay and support your business. 

    2. Higher Operational Efficiency

    Customer data protection isn’t just a policy – it’s a culture of collecting “just enough” data, protecting it and using it responsibly. 

    Sadly, that’s the area where most organisations trail behind. At present, some 90% of businesses admit to having amassed massive data silos. 

    Siloed data is expensive to maintain and operationalise. Moreover, when left unattended, it can evolve into a pressing compliance issue. 

    A recently leaked document from Facebook says the company has no idea where all of its first-party, third-party and sensitive categories data goes or how it is processed. Because of this, Facebook struggles to achieve GDPR compliance and remains under regulatory pressure. 

    Similarly, Google Analytics is riddled with privacy issues. Other company products were found to be collecting and operationalising consumer data without users’ knowledge or consent. Again, this creates valid grounds for regulatory investigations. 

    Smaller companies have a better chance of making things right at the onset. 

    By curbing customer data collection, you can : 

    • Reduce data hosting and Cloud computation costs (aka trim your Cloud bill) 
    • Improve data security practices (since you would have fewer assets to protect) 
    • Make your staff more productive by consolidating essential data and making it easy and safe to access

    Privacy-mindful companies also have an easier time when it comes to compliance and can meet new data regulations faster. 

    3. Better Marketing Campaigns 

    The biggest counter-argument to reducing customer data collection is marketing. 

    How can we effectively sell our products if we know nothing about our customers ? – your team might be asking. 

    This might sound counterintuitive, but minimising data collection and usage can lead to better marketing outcomes. 

    Limiting the types of data that can be used encourages your people to become more creative and productive by focusing on fewer metrics that are more important.

    Think of it this way : Every other business uses the same targeting parameters on Facebook or Google for running paid ad campaigns on Facebook. As a result, we see ads everywhere — and people grow unresponsive to them or choose to limit exposure by using ad blocking software, private browsers and VPNs. Your ad budgets get wasted on chasing mirage metrics instead of actual prospects. 

    Case in point : In 2017 Marc Pritchard of Procter & Gamble decided to first cut the company’s digital advertising budget by 6% (or $200 million). Unilever made an even bolder move and reduced its ad budget by 30% in 2018. 

    Guess what happened ?

    P&G saw a 7.5% increase in organic sales and Unilever had a 3.8% gain as HBR reports. So how come both companies became more successful by spending less on advertising ? 

    They found that overexposure to online ads led to diminishing returns and annoyances among loyal customers. By minimising ad exposure and adopting alternative marketing strategies, the two companies managed to market better to new and existing customers. 

    The takeaway : There are more ways to engage consumers aside from pestering them with repetitive retargeting messages or creepy personalisation. 

    You can collect first-party data with consent to incrementally improve your product — and educate them on the benefits of your solution in transparent terms.

    Final Thoughts 

    The definitive advantage of privacy is consumers’ trust. 

    You can’t buy it, you can’t fake it, you can only cultivate it by aligning your external appearances with internal practices. 

    Because when you fail to address privacy internally, your mishaps will quickly become apparent either as social media call-outs or worse — as a security incident, a data breach or a legal investigation. 

    By choosing to treat consumer data with respect, you build an extra layer of protection around your business, plus draw in some banging benefits too. 

    Get one step closer to becoming a privacy-centred company by choosing Matomo as your web analytics solution. We offer robust privacy controls for ensuring ethical, compliant, privacy-friendly and secure website tracking. 

  • FFMPEG does not add images to audio

    20 février 2018, par Googlebot

    I want to create a slideshow with a background music by ffmpeg, and use the command

    ffmpeg -f concat -safe 0 -i map.txt -i audio.flac -vsync vfr -pix_fmt yuv420p -strict -2 video.mp4

    and map.txt is like

    file '1.jpg'
    duration 15
    file '2.jpg'
    duration 60

    The result is a video with the audio and blank background. If I run the above command without audio as

    ffmpeg -f concat -safe 0 -i map.txt -pix_fmt yuv420p -strict -2 video.mp4

    a perfect video of the images (the intended slideshow) is generated (but obviously without audio).

    I reckon the problem is related to synchronising the audio and images.

    This is the terminal output for the first command

    ffmpeg -f concat -safe 0 -i map.txt -i audio.flac -vsync vfr -pix_fmt yuv420p -strict -2 video.mp4
    ffmpeg version 2.8.11-0ubuntu0.16.04.1 Copyright (c) 2000-2017 the FFmpeg developers
     built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.4) 20160609
     configuration: --prefix=/usr --extra-version=0ubuntu0.16.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv
     libavutil      54. 31.100 / 54. 31.100
     libavcodec     56. 60.100 / 56. 60.100
     libavformat    56. 40.101 / 56. 40.101
     libavdevice    56.  4.100 / 56.  4.100
     libavfilter     5. 40.101 /  5. 40.101
     libavresample   2.  1.  0 /  2.  1.  0
     libswscale      3.  1.101 /  3.  1.101
     libswresample   1.  2.101 /  1.  2.101
     libpostproc    53.  3.100 / 53.  3.100
    [mjpeg @ 0x1cc8d40] Changeing bps to 8
    Input #0, concat, from 'map.txt':
     Duration: 00:05:48.00, start: 0.000000, bitrate: 0 kb/s
       Stream #0:0: Video: mjpeg, gray(bt470bg/unknown/unknown), 1920x1080 [SAR 72:72 DAR 16:9], 25 tbr, 25 tbn, 25 tbc
    Input #1, flac, from 'audio.flac':
     Metadata:
       TITLE           : Speak to Me
       ARTIST          : Creator
       ALBUM           : Acoustic Hits
       track           : 14
       GENRE           : Pop
       DATE            : 2011
     Duration: 00:03:31.02, start: 0.000000, bitrate: 1026 kb/s
       Stream #1:0: Audio: flac, 44100 Hz, stereo, s16
    [libx264 @ 0x1ccdf80] using SAR=1/1
    [libx264 @ 0x1ccdf80] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 AVX2 LZCNT BMI2
    [libx264 @ 0x1ccdf80] profile High, level 4.0
    [libx264 @ 0x1ccdf80] 264 - core 148 r2643 5c65704 - H.264/MPEG-4 AVC codec - Copyleft 2003-2015 - 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 'video.mp4':
     Metadata:
       encoder         : Lavf56.40.101
       Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 12800 tbn, 25 tbc
       Metadata:
         encoder         : Lavc56.60.100 libx264
       Stream #0:1: Audio: aac ([64][0][0][0] / 0x0040), 44100 Hz, stereo, fltp (16 bit), 128 kb/s
       Metadata:
         encoder         : Lavc56.60.100 aac
    Stream mapping:
     Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
     Stream #1:0 -> #0:1 (flac (native) -> aac (native))
    Press [q] to stop, [?] for help
    [mjpeg @ 0x7fe688001ba0] Changeing bps to 8
    frame=    2 fps=0.7 q=-1.0 Lsize=    3593kB time=00:03:31.02 bitrate= 139.5kbits/s    
    video:147kB audio:3410kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.036417%
    [libx264 @ 0x1ccdf80] frame I:1     Avg QP: 2.55  size: 33683
    [libx264 @ 0x1ccdf80] frame P:1     Avg QP:19.33  size:116022
    [libx264 @ 0x1ccdf80] mb I  I16..4: 89.7%  1.1%  9.3%
    [libx264 @ 0x1ccdf80] mb P  I16..4:  0.9%  1.8% 30.1%  P16..4:  1.4%  1.5%  0.9%  0.0%  0.0%    skip:63.4%
    [libx264 @ 0x1ccdf80] 8x8 transform intra:2.1% inter:15.2%
    [libx264 @ 0x1ccdf80] coded y,uvDC,uvAC intra: 19.7% 0.0% 0.0% inter: 2.8% 0.0% 0.0%
    [libx264 @ 0x1ccdf80] i16 v,h,dc,p: 97%  2%  2%  0%
    [libx264 @ 0x1ccdf80] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 37% 12% 39%  1%  1%  2%  1%  2%  4%
    [libx264 @ 0x1ccdf80] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 43% 16% 16%  3%  4%  6%  5%  5%  4%
    [libx264 @ 0x1ccdf80] i8c dc,h,v,p: 100%  0%  0%  0%
    [libx264 @ 0x1ccdf80] Weighted P-Frames: Y:0.0% UV:0.0%
    [libx264 @ 0x1ccdf80] kb/s:20.65

    UPDATE (following the comment suggestion)

    ffmpeg -f concat -safe 0 -i map.txt -i audio.flac -vsync vfr -r 5 -pix_fmt yuv420p -strict -2 video.mp4
    ffmpeg version 2.8.11-0ubuntu0.16.04.1 Copyright (c) 2000-2017 the FFmpeg developers
     built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.4) 20160609
     configuration: --prefix=/usr --extra-version=0ubuntu0.16.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv
     libavutil      54. 31.100 / 54. 31.100
     libavcodec     56. 60.100 / 56. 60.100
     libavformat    56. 40.101 / 56. 40.101
     libavdevice    56.  4.100 / 56.  4.100
     libavfilter     5. 40.101 /  5. 40.101
     libavresample   2.  1.  0 /  2.  1.  0
     libswscale      3.  1.101 /  3.  1.101
     libswresample   1.  2.101 /  1.  2.101
     libpostproc    53.  3.100 / 53.  3.100
    [mjpeg @ 0x1fe9d80] Changeing bps to 8
    Input #0, concat, from 'map.txt':
     Duration: 00:02:28.00, start: 0.000000, bitrate: 0 kb/s
       Stream #0:0: Video: mjpeg, gray(bt470bg/unknown/unknown), 1920x1080 [SAR 72:72 DAR 16:9], 25 tbr, 25 tbn, 25 tbc
    Input #1, flac, from 'audio.flac':
     Metadata:
       TITLE           : Speak to Me
       ARTIST          : Creator
       ALBUM           : Acoustic Hits
       track           : 14
       GENRE           : Pop
       DATE            : 2011
     Duration: 00:03:31.02, start: 0.000000, bitrate: 1026 kb/s
       Stream #1:0: Audio: flac, 44100 Hz, stereo, s16
    [libx264 @ 0x1feefc0] using SAR=1/1
    [libx264 @ 0x1feefc0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 AVX2 LZCNT BMI2
    [libx264 @ 0x1feefc0] profile High, level 4.0
    [libx264 @ 0x1feefc0] 264 - core 148 r2643 5c65704 - H.264/MPEG-4 AVC codec - Copyleft 2003-2015 - 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=5 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 'video.mp4':
     Metadata:
       encoder         : Lavf56.40.101
       Stream #0:0: Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], q=-1--1, 5 fps, 10240 tbn, 5 tbc
       Metadata:
         encoder         : Lavc56.60.100 libx264
       Stream #0:1: Audio: aac ([64][0][0][0] / 0x0040), 44100 Hz, stereo, fltp (16 bit), 128 kb/s
       Metadata:
         encoder         : Lavc56.60.100 aac
    Stream mapping:
     Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
     Stream #1:0 -> #0:1 (flac (native) -> aac (native))
    Press [q] to stop, [?] for help
    [mjpeg @ 0x7f74cc001ba0] Changeing bps to 8
    frame=    2 fps=0.7 q=-1.0 Lsize=    3593kB time=00:03:31.02 bitrate= 139.5kbits/s    
    video:147kB audio:3410kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.036417%
    [libx264 @ 0x1feefc0] frame I:1     Avg QP: 2.55  size: 33683
    [libx264 @ 0x1feefc0] frame P:1     Avg QP:19.33  size:116022
    [libx264 @ 0x1feefc0] mb I  I16..4: 89.7%  1.1%  9.3%
    [libx264 @ 0x1feefc0] mb P  I16..4:  0.9%  1.8% 30.1%  P16..4:  1.4%  1.5%  0.9%  0.0%  0.0%    skip:63.4%
    [libx264 @ 0x1feefc0] 8x8 transform intra:2.1% inter:15.2%
    [libx264 @ 0x1feefc0] coded y,uvDC,uvAC intra: 19.7% 0.0% 0.0% inter: 2.8% 0.0% 0.0%
    [libx264 @ 0x1feefc0] i16 v,h,dc,p: 97%  2%  2%  0%
    [libx264 @ 0x1feefc0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 37% 12% 39%  1%  1%  2%  1%  2%  4%
    [libx264 @ 0x1feefc0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 43% 16% 16%  3%  4%  6%  5%  5%  4%
    [libx264 @ 0x1feefc0] i8c dc,h,v,p: 100%  0%  0%  0%
    [libx264 @ 0x1feefc0] Weighted P-Frames: Y:0.0% UV:0.0%
    [libx264 @ 0x1feefc0] kb/s:20.65
  • How to keep transparency when scale webm file with ffmpeg

    5 octobre 2022, par Sonia Kidman

    I'm using ffmpeg to scale my WEBM file, by using below command : 
ffmpeg -i in.webm -c:v libvpx -vf scale=100:100 out.webm
The output has correct resolution as I expected but the problem is transparency become black background.

    



    Could someone give me a solution for this.

    



    Thank you so much.

    



    Below is the log of the operation :

    



    ffmpeg version 3.4 Copyright (c) 2000-2017 the FFmpeg developers
  built with gcc 7.2.0 (GCC)
  configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-cuda --enable-cuvid --enable-d3d11va --enable-nvenc --enable-dxva2 --enable-avisynth --enable-libmfx
  libavutil      55. 78.100 / 55. 78.100
  libavcodec     57.107.100 / 57.107.100
  libavformat    57. 83.100 / 57. 83.100
  libavdevice    57. 10.100 / 57. 10.100
  libavfilter     6.107.100 /  6.107.100
  libswscale      4.  8.100 /  4.  8.100
  libswresample   2.  9.100 /  2.  9.100
  libpostproc    54.  7.100 / 54.  7.100
Splitting the commandline.
Reading option '-v' ... matched as option 'v' (set logging level) with argument '56'.
Reading option '-i' ... matched as input url with argument 'in.webm'.
Reading option '-c:v' ... matched as option 'c' (codec name) with argument 'libvpx'.
Reading option '-vf' ... matched as option 'vf' (set video filters) with argument 'scale=320:240'.
Reading option 'out.webm' ... matched as output url.
Finished splitting the commandline.
Parsing a group of options: global .
Applying option v (set logging level) with argument 56.
Successfully parsed a group of options.
Parsing a group of options: input url in.webm.
Successfully parsed a group of options.
Opening an input file: in.webm.
[NULL @ 000002387e6322a0] Opening 'in.webm' for reading
[file @ 000002387e632ea0] Setting default whitelist 'file,crypto'
Probing matroska,webm score:100 size:2048
Probing mp3 score:1 size:2048
[matroska,webm @ 000002387e6322a0] Format matroska,webm probed with size=2048 and score=100
st:0 removing common factor 1000000 from timebase
[matroska,webm @ 000002387e6322a0] Before avformat_find_stream_info() pos: 634 bytes read:32768 seeks:0 nb_streams:1
[matroska,webm @ 000002387e6322a0] All info found
[matroska,webm @ 000002387e6322a0] stream 0: start_time: 0.000 duration: -9223372036854776.000
[matroska,webm @ 000002387e6322a0] format: start_time: 0.000 duration: 0.400 bitrate=1432 kb/s
[matroska,webm @ 000002387e6322a0] After avformat_find_stream_info() pos: 34843 bytes read:65536 seeks:0 frames:1
Input #0, matroska,webm, from 'in.webm':
  Metadata:
    ENCODER         : Lavf57.83.100
  Duration: 00:00:00.40, start: 0.000000, bitrate: 1432 kb/s
    Stream #0:0, 1, 1/1000: Video: vp8, 1 reference frame, yuv420p(progressive), 640x480, 0/1, SAR 1:1 DAR 4:3, 10 fps, 10 tbr, 1k tbn, 1k tbc (default)
    Metadata:
      alpha_mode      : 1
      ENCODER         : Lavc57.107.100 libvpx
      DURATION        : 00:00:00.400000000
Successfully opened the file.
Parsing a group of options: output url out.webm.
Applying option c:v (codec name) with argument libvpx.
Applying option vf (set video filters) with argument scale=320:240.
Successfully parsed a group of options.
Opening an output file: out.webm.
[file @ 000002387e658b40] Setting default whitelist 'file,crypto'
Successfully opened the file.
detected 4 logical cores
Stream mapping:
  Stream #0:0 -> #0:0 (vp8 (native) -> vp8 (libvpx))
Press [q] to stop, [?] for help
cur_dts is invalid (this is harmless if it occurs once at the start per stream)
    Last message repeated 4 times
[Parsed_scale_0 @ 000002387e718a60] Setting 'w' to value '320'
[Parsed_scale_0 @ 000002387e718a60] Setting 'h' to value '240'
[Parsed_scale_0 @ 000002387e718a60] Setting 'flags' to value 'bicubic'
[Parsed_scale_0 @ 000002387e718a60] w:320 h:240 flags:'bicubic' interl:0
[graph 0 input from stream 0:0 @ 000002387e743b00] Setting 'video_size' to value '640x480'
[graph 0 input from stream 0:0 @ 000002387e743b00] Setting 'pix_fmt' to value '0'
[graph 0 input from stream 0:0 @ 000002387e743b00] Setting 'time_base' to value '1/1000'
[graph 0 input from stream 0:0 @ 000002387e743b00] Setting 'pixel_aspect' to value '1/1'
[graph 0 input from stream 0:0 @ 000002387e743b00] Setting 'sws_param' to value 'flags=2'
[graph 0 input from stream 0:0 @ 000002387e743b00] Setting 'frame_rate' to value '10/1'
[graph 0 input from stream 0:0 @ 000002387e743b00] w:640 h:480 pixfmt:yuv420p tb:1/1000 fr:10/1 sar:1/1 sws_param:flags=2
[format @ 000002387e7fe1e0] compat: called with args=[yuv420p|yuva420p]
[format @ 000002387e7fe1e0] Setting 'pix_fmts' to value 'yuv420p|yuva420p'
[AVFilterGraph @ 000002387e634e60] query_formats: 4 queried, 3 merged, 0 already done, 0 delayed
[Parsed_scale_0 @ 000002387e718a60] w:640 h:480 fmt:yuv420p sar:1/1 -> w:320 h:240 fmt:yuv420p sar:1/1 flags:0x4
[libvpx @ 000002387e657fe0] v1.6.1
[libvpx @ 000002387e657fe0] --prefix=/Users/kyle/software/libvpx/win64/libvpx-1.6.1-win64 --target=x86_64-win64-gcc
[libvpx @ 000002387e657fe0] vpx_codec_enc_cfg
[libvpx @ 000002387e657fe0] generic settings
  g_usage:                      0
  g_threads:                    0
  g_profile:                    0
  g_w:                          320
  g_h:                          240
  g_bit_depth:                  8
  g_input_bit_depth:            8
  g_timebase:                   {1/30}
  g_error_resilient:            0
  g_pass:                       0
  g_lag_in_frames:              0
[libvpx @ 000002387e657fe0] rate control settings
  rc_dropframe_thresh:          0
  rc_resize_allowed:            0
  rc_resize_up_thresh:          60
  rc_resize_down_thresh:        30
  rc_end_usage:                 0
  rc_twopass_stats_in:          0000000000000000(0)
  rc_target_bitrate:            256
[libvpx @ 000002387e657fe0] quantizer settings
  rc_min_quantizer:             4
  rc_max_quantizer:             63
[libvpx @ 000002387e657fe0] bitrate tolerance
  rc_undershoot_pct:            100
  rc_overshoot_pct:             100
[libvpx @ 000002387e657fe0] decoder buffer model
  rc_buf_sz:                    6000
  rc_buf_initial_sz:            4000
  rc_buf_optimal_sz:            5000
[libvpx @ 000002387e657fe0] 2 pass rate control settings
  rc_2pass_vbr_bias_pct:        50
  rc_2pass_vbr_minsection_pct:  0
  rc_2pass_vbr_maxsection_pct:  400
[libvpx @ 000002387e657fe0] keyframing settings
  kf_mode:                      1
  kf_min_dist:                  0
  kf_max_dist:                  128
[libvpx @ 000002387e657fe0] 
[libvpx @ 000002387e657fe0] vpx_codec_enc_cfg
[libvpx @ 000002387e657fe0] generic settings
  g_usage:                      0
  g_threads:                    0
  g_profile:                    0
  g_w:                          320
  g_h:                          240
  g_bit_depth:                  8
  g_input_bit_depth:            8
  g_timebase:                   {1/10}
  g_error_resilient:            0
  g_pass:                       0
  g_lag_in_frames:              25
[libvpx @ 000002387e657fe0] rate control settings
  rc_dropframe_thresh:          0
  rc_resize_allowed:            0
  rc_resize_up_thresh:          60
  rc_resize_down_thresh:        30
  rc_end_usage:                 0
  rc_twopass_stats_in:          0000000000000000(0)
  rc_target_bitrate:            200
[libvpx @ 000002387e657fe0] quantizer settings
  rc_min_quantizer:             4
  rc_max_quantizer:             63
[libvpx @ 000002387e657fe0] bitrate tolerance
  rc_undershoot_pct:            100
  rc_overshoot_pct:             100
[libvpx @ 000002387e657fe0] decoder buffer model
  rc_buf_sz:                    6000
  rc_buf_initial_sz:            4000
  rc_buf_optimal_sz:            5000
[libvpx @ 000002387e657fe0] 2 pass rate control settings
  rc_2pass_vbr_bias_pct:        50
  rc_2pass_vbr_minsection_pct:  0
  rc_2pass_vbr_maxsection_pct:  400
[libvpx @ 000002387e657fe0] keyframing settings
  kf_mode:                      1
  kf_min_dist:                  0
  kf_max_dist:                  128
[libvpx @ 000002387e657fe0] 
[libvpx @ 000002387e657fe0] vpx_codec_control
[libvpx @ 000002387e657fe0]   VP8E_SET_CPUUSED:             1
[libvpx @ 000002387e657fe0]   VP8E_SET_ARNR_MAXFRAMES:      0
[libvpx @ 000002387e657fe0]   VP8E_SET_ARNR_STRENGTH:       3
[libvpx @ 000002387e657fe0]   VP8E_SET_ARNR_TYPE:           3
[libvpx @ 000002387e657fe0]   VP8E_SET_NOISE_SENSITIVITY:   0
[libvpx @ 000002387e657fe0]   VP8E_SET_TOKEN_PARTITIONS:    0
[libvpx @ 000002387e657fe0]   VP8E_SET_STATIC_THRESHOLD:    0
[libvpx @ 000002387e657fe0] Using deadline: 1000000
Output #0, webm, to 'out.webm':
  Metadata:
    encoder         : Lavf57.83.100
    Stream #0:0, 0, 1/1000: Video: vp8 (libvpx), 1 reference frame, yuv420p, 320x240 [SAR 1:1 DAR 4:3], 0/1, q=-1--1, 200 kb/s, 10 fps, 1k tbn, 10 tbc (default)
    Metadata:
      alpha_mode      : 1
      DURATION        : 00:00:00.400000000
      encoder         : Lavc57.107.100 libvpx
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
Clipping frame in rate conversion by 0.000008
[webm @ 000002387e656880] get_metadata_duration returned: 400000
[webm @ 000002387e656880] Write early duration from metadata = 400
[webm @ 000002387e656880] Writing block at offset 3, size 11223, pts 0, dts 0, duration 100, keyframe 1
[webm @ 000002387e656880] Writing block at offset 11233, size 1288, pts 100, dts 100, duration 100, keyframe 0
[webm @ 000002387e656880] Writing block at offset 12528, size 1504, pts 200, dts 200, duration 100, keyframe 0
[webm @ 000002387e656880] Writing block at offset 14039, size 2481, pts 300, dts 300, duration 100, keyframe 0
[out_0_0 @ 000002387e743d60] EOF on sink link out_0_0:default.
No more output streams to write to, finishing.
[webm @ 000002387e656880] end duration = 400
[webm @ 000002387e656880] stream 0 end duration = 400
frame=    4 fps=0.0 q=0.0 Lsize=      17kB time=00:00:00.30 bitrate= 457.8kbits/s speed=4.45x    
video:16kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 4.413191%
Input file #0 (in.webm):
  Input stream #0:0 (video): 4 packets read (34992 bytes); 4 frames decoded; 
  Total: 4 packets (34992 bytes) demuxed
Output file #0 (out.webm):
  Output stream #0:0 (video): 4 frames encoded; 4 packets muxed (16496 bytes); 
  Total: 4 packets (16496 bytes) muxed
4 frames successfully decoded, 0 decoding errors
[AVIOContext @ 000002387e698c20] Statistics: 14 seeks, 10 writeouts
[AVIOContext @ 000002387cc773e0] Statistics: 71649 bytes read, 0 seeks