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• Segment duration variation is higher than the +/- 50% allowed by DASH-IF

  23 mars 2016, par timhysniu

  I am implement a proof of concept page with video player that uses DASH. I am having a difficult time getting the video right and I am not sure whether this is an encoding issue or MP4Box issue.

  Since I am working on Ubuntu I had to change a few parameters for ffmpeg, but according to what I read this should be fine :

  ~/ffmpeg/ffmpeg -c:a aac -ar 44100 -ac 1 -codec:v libx264 \
  
    -profile:v baseline -level 13 -b:v 2000k video_transcoded.mp4 -i video.mp4

  Then to create the MPD I am running this :

  MP4Box -dash 10000 -dash-profile live \
  
    -segment-name video_transcoded video_transcoded.mp4

  I am getting this response at the end, which might be why no player will play my video :

    [DASH] two languages in adaptation set: und will be kept eng will be ignored
  
    DASHing file video_transcoded.mp4
  
    [DASH]: Segment duration variation is higher than the  50% allowed by DASH-IF (min 1.044, max 10.448) - please reconsider encoding

  Here is the output of ffmpeg :

      ffmpeg version N-53477-g689211d-static http://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2016 the FFmpeg developers
  
        built with gcc 5.3.1 (Debian 5.3.1-10) 20160224
  
        configuration: --enable-gpl --enable-version3 --disable-shared --disable-debug --enable-runtime-cpudetect --enable-libmp3lame --enable-libx264 --enable-libx265 --enable-libwebp --enable-libspeex --enable-libvorbis --enable-libvpx --enable-libfreetype --enable-fontconfig --enable-libxvid --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvo-amrwbenc --enable-gray --enable-libopenjpeg --enable-libopus --enable-libass --enable-gnutls --enable-libvidstab --enable-libsoxr --enable-frei0r --enable-libfribidi --disable-indev=sndio --disable-outdev=sndio --enable-librtmp --enable-libmfx --cc=gcc
  
        libavutil      55. 19.100 / 55. 19.100
  
        libavcodec     57. 28.100 / 57. 28.100
  
        libavformat    57. 28.100 / 57. 28.100
  
        libavdevice    57.  0.101 / 57.  0.101
  
        libavfilter     6. 39.102 /  6. 39.102
  
        libswscale      4.  0.100 /  4.  0.100
  
        libswresample   2.  0.101 /  2.  0.101
  
        libpostproc    54.  0.100 / 54.  0.100
  
      Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'gladiator.mp4':
  
        Metadata:
  
          major_brand     : isom
  
          minor_version   : 1
  
          compatible_brands: isomavc1
  
          creation_time   : 2013-02-12 19:14:56
  
        Duration: 02:50:56.98, start: 0.000000, bitrate: 923 kb/s
  
          Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1280x544 [SAR 1:1 DAR 40:17], 823 kb/s, 23.98 fps, 23.98 tbr, 24k tbn, 47.95 tbc (default)
  
          Metadata:
  
            creation_time   : 2013-02-12 19:14:56
  
            handler_name    : 2000.Extended.Remastered.720p.BluRay.x264-HDEVO.mkv.264#trackID=1:fps=23.976@GPAC0.5.1-DEV-rev4283
  
          Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 95 kb/s (default)
  
          Metadata:
  
            creation_time   : 2013-02-12 15:32:26
  
            handler_name    : Sound Media Handler
  
      [libx264 @ 0xaf12920] using SAR=1/1
  
      [libx264 @ 0xaf12920] frame MB size (80x34) > level limit (396)
  
      [libx264 @ 0xaf12920] DPB size (3 frames, 8160 mbs) > level limit (0 frames, 2376 mbs)
  
      [libx264 @ 0xaf12920] MB rate (65214) > level limit (11880)
  
      [libx264 @ 0xaf12920] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX
  
      [libx264 @ 0xaf12920] profile Constrained Baseline, level 1.3
  
      [libx264 @ 0xaf12920] 264 - core 148 r236 a01e339 - H.264/MPEG-4 AVC codec - Copyleft 2003-2016 - http://www.videolan.org/x264.html - options: cabac=0 ref=3 deblock=1:0:0 analyse=0x1:0x111 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=1 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=0 weightp=0 keyint=250 keyint_min=23 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=abr mbtree=1 bitrate=2000 ratetol=1.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
      Output #0, mp4, to 'gladiator2.mp4':
  
        Metadata:
  
          major_brand     : isom
  
          minor_version   : 1
  
          compatible_brands: isomavc1
  
          encoder         : Lavf57.28.100
  
          Stream #0:0(und): Video: h264 (libx264) ([33][0][0][0] / 0x0021), yuv420p, 1280x544 [SAR 1:1 DAR 40:17], q=-1--1, 2000 kb/s, 23.98 fps, 24k tbn, 23.98 tbc (default)
  
          Metadata:
  
            creation_time   : 2013-02-12 19:14:56
  
            handler_name    : 2000.Extended.Remastered.720p.BluRay.x264-HDEVO.mkv.264#trackID=1:fps=23.976@GPAC0.5.1-DEV-rev4283
  
            encoder         : Lavc57.28.100 libx264
  
          Side data:
  
            cpb: bitrate max/min/avg: 0/0/2000000 buffer size: 0 vbv_delay: -1
  
          Stream #0:1(eng): Audio: aac (LC) ([64][0][0][0] / 0x0040), 44100 Hz, mono, fltp, 69 kb/s (default)
  
          Metadata:
  
            creation_time   : 2013-02-12 15:32:26
  
            handler_name    : Sound Media Handler
  
            encoder         : Lavc57.28.100 aac
  
      Stream mapping:
  
        Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  
        Stream #0:1 -> #0:1 (aac (native) -> aac (native))
  
      Press [q] to stop, [?] for help

  After transcoding is completed I get this :

  frame=  132 fps= 15 q=25.0 Lsize=    1112kB time=00:00:05.31 bitrate=1713.0kbits/s speed=0.603x    
  
  video:1062kB audio:45kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.414602%
  
  [libx264 @ 0xab63de0] frame I:1     Avg QP:21.29  size:121187
  
  [libx264 @ 0xab63de0] frame P:131   Avg QP:23.40  size:  7372
  
  [libx264 @ 0xab63de0] mb I  I16..4:  9.2%  0.0% 90.8%
  
  [libx264 @ 0xab63de0] mb P  I16..4:  0.9%  0.0%  0.3%  P16..4: 37.2%  7.0%  1.8%  0.0%  0.0%    skip:52.7%
  
  [libx264 @ 0xab63de0] final ratefactor: 21.58
  
  [libx264 @ 0xab63de0] coded y,uvDC,uvAC intra: 48.8% 72.2% 30.7% inter: 8.9% 14.6% 0.8%
  
  [libx264 @ 0xab63de0] i16 v,h,dc,p: 28% 33% 18% 21%
  
  [libx264 @ 0xab63de0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 22% 16% 15%  8%  7%  8%  6% 12%  6%
  
  [libx264 @ 0xab63de0] i8c dc,h,v,p: 52% 21% 19%  8%
  
  [libx264 @ 0xab63de0] ref P L0: 92.9%  5.2%  1.8%
  
  [libx264 @ 0xab63de0] kb/s:1646.80
  
  [aac @ 0xab64c40] Qavg: 112.650

  What can I do to make this work ?

• hwcontext_vulkan : avoid using 64-bit enums

  27 janvier 2022, par Lynne

  hwcontext_vulkan : avoid using 64-bit enums
  MSVC (2016, but possibly more) still force enums to be basic ints.
  

  • [DH] libavutil/vulkan_functions.h

• Use data to develop impactful video content

  28 septembre 2021, par Ben Erskine — Analytics Tips, Plugins

  Creating impactful video content is at the heart of what you do. How you really engage with your audience, change behaviours and influence customers to complete your digital goals. But how do you create truly impactful marketing content ? By testing, trialling, analysing and ultimately tweaking and reacting to data-informed insights that gear your content to your audience (rather than simply producing great content and shooting arrows in the dark).

  Whether you want to know how many plays your video has, finish rates, how your video is consumed over time, how video was consumed on specific days or even which locations users are viewing your video content. Media Analytics will gather all of your video data in one place and provide answers to all of these questions (and much more).

  

  What is impactful video content ?

  Impactful video content grabs your audience’s attention, keeps their attention and promotes them to take measurable action. Be that time spent on your website, goal completion or brand engagement (including following, commenting or sharing on social). Maybe you’ve developed video content, had some really great results, but not consistently, nor every time and it can be difficult to identify what exactly it is that engages and entices each and every time. And we all want to find where that lovely sweet spot is for your audience.

  Embedded video on your website can be a marketing piece that talks about the benefits of your product. Or can be educational or informative that support the brand and overall impression of the brand. And at the very best entertaining at the same time. 

  84% of people say that they’ve been convinced to buy a product or service by watching a brand’s video. Building trust, knowledge and engagement are simply quicker with video. Viewers interact more, and are engaged longer with video, they are more likely to take in the message and trust what they are seeing through educational, informative or even entertaining video marketing content than solely through reading content on a website. And even better they take action, complete goals on your website and engage with your brand (potentially long term).

  It is not only necessary to have embedded video content on your website, it needs to deliver all the elements of a well functioning website, creating the very best user experience is essential to keeping your viewers engaged. This includes ensuring the video is quick to load, on-brand, expected (in format and tone) and easy to use and/or find. Ensuring that your video content is all of these things can mean that your website users will stick around longer on your website, spend more time exploring (and reading) your website and ultimately complete more of your goals. With a great user experience, your users, in turn, are more likely to come back again to your website and trust your brand. 

  All great reasons to create impactful video content that supports your website and brand ! And to analyse data around this behaviour to repeat (or better) the video content that really hits the mark.

  

  Let’s talk stats

  In terms of video marketing, there are stats to support that viewers retain 95% of a message when they view it in a video format. The psychology behind this should be fairly obvious. It is easier (and quicker) for humans to consume video and watch someone explain something than it is to read and take action. Simply look at the rise of YouTube for explanatory and instructional video content !

  And how about the 87% of marketers that report a positive ROI on using video in their marketing ? This number has steadily increased since 2015 and matches the increase in video views over the years. This should be enough to demonstrate that video marketing is the way forward, however it needs to be the right type of video to create impact and engagement.

  Do you need more reasons to consider honing and refining your video content for your audience ? And riding this wave of impactful video marketing success ?

  

  But, how do we do that ?

  So, how do you make content that consistently converts your audience to engaged customers ? The answer is in the numbers. The data. Collecting data on each and every piece of media that is produced and put out into the world. Measuring everything, from where it is viewed, how it is viewed, how much of it is viewed and what is your viewer’s action after the fact.

  While Vimeo and YouTube have their own video analytics they are each to their own, meaning a lot more work for you to combine and analyse your data before forming insights that are useful. 

  Your data is collected by external parties, and is owned and used by these platforms, for their own means. Using Web Analytics from Matomo to collect and collate media data can mean your robust data insights are all in one place. And you own the data, keeping your data private, clean and easy to digest. 

  Once your data is across a single platform, your time can be spent on analysing the data (rather than collating) and discovering those super valuable insights. Additionally, these insights can be collated and reported, in one place, and used to inform future digital and video marketing planning. Working with the data and alongside creative teams to produce video that talks to your audience in an impactful way.

  The more data that is collected the deeper the insights. Saving time and money across a single platform and with data-backed insights to inform decisions that can influence the time (and money) spent producing video content that truly hits the mark with your audience. No more wasted investment and firing into the dark without knowledge. 

  Interrogating the ideal length of your video media means it is more likely to be viewed to the end. Or understanding the play rate on your website of any video. How often is the video played ? And which is played more often ? Constant tweaking and updating of your video content planning can be informed by data-driven human-centric insights. By consistently tracking your media, analysing and forming insights you can build upon past work, and create a fuller picture of who your audience is and how they will engage with future video content. Understanding your media over time can lead to informed decisions that can impact the video content and the level of investment to deliver ROI that means something.

  

  Wrap Up

  Media Analytics puts you at the heart of video engagement. No more guessing at what your audience wants to see, how long or when. Make every piece of video content have the impact you want (and need) to drive engagement, goal completion and customer conversion. Create a user experience that keeps your users on your website for longer. Delivering on all of those delicious digital marketing goals and speaking the language of key stakeholders throughout the business. Back your digital marketing, with truly impactful content, and above all else deliver to your audience content that keeps them engaged and coming back for more.

  Don’t just take our word for it ! Take a look at what Matomo can offer you with streamlined and insightful Media Analytics, all in one place. And go forth and create impactful content, that matters.

  Next steps :

  Check out our detailed user guide to Media Analytics

  Or, if you have questions, see our helpful Video & Audio Analytics FAQ’s