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• Preserving or syncing audio of original video to video fragments

  2 mai 2015, par Code_Ed_Student

  I currently have a few videos that I want to split into EXACTLY 30 seconds segments. I have been able to accomplish but the audio is not being properly preserve. Its out of sync. I tried playing arsample ab and other libraries but I am not getting the desired outuput. What would be the best way to both split the videos in exactly 30 second frames and preserve the audio ?

  ffmpeg -i $file -preset medium -map 0 -segment_time 30 -g 225 -r 25  -sc_threshold 0 -force_key_frames expr:gte(t,n_forced*30) -f segment -movflags faststart -vf scale=-1:720,format=yuv420p -vcodec libx264 -crf 20 -codec:a copy $dir/$video_file-%03d.mp4

  short snippet of output

  Input #0, flv, from '/media/sf_linux_sandbox/hashtag_pull/video-downloads/5b64d7ab-a669-4016-b55e-fe4720cbd843/5b64d7ab-a669-4016-b55e-fe4720cbd843.flv':
  
    Metadata:
  
      moovPosition    : 40
  
      avcprofile      : 77
  
      avclevel        : 31
  
      aacaot          : 2
  
      videoframerate  : 30
  
      audiochannels   : 2
  
      ©too           : Lavf56.15.102
  
      length          : 7334912
  
      sampletype      : mp4a
  
      timescale       : 48000
  
    Duration: 00:02:32.84, start: 0.000000, bitrate: 2690 kb/s
  
      Stream #0:0: Video: h264 (Main), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 30.30 fps, 29.97 tbr, 1k tbn, 59.94 tbc
  
      Stream #0:1: Audio: aac (LC), 48000 Hz, stereo, fltp
  
  [libx264 @ 0x3663ba0] using SAR=1/1
  
  [libx264 @ 0x3663ba0] using cpu capabilities: MMX2 SSE2Fast SSSE3 Cache64
  
  [libx264 @ 0x3663ba0] profile High, level 3.1
  
  [libx264 @ 0x3663ba0] 264 - core 144 r2 40bb568 - H.264/MPEG-4 AVC codec - Copyleft 2003-2014 - 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=225 keyint_min=22 scenecut=0 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, segment, to '/media/sf_linux_sandbox/hashtag_pull/video-edits/30/5b64d7ab-a669-4016-b55e-fe4720cbd843/5b64d7ab-a669-4016-b55e-fe4720cbd843-%03d.mp4':
  
    Metadata:
  
      moovPosition    : 40
  
      avcprofile      : 77
  
      avclevel        : 31
  
      aacaot          : 2
  
      videoframerate  : 30
  
      audiochannels   : 2
  
      ©too           : Lavf56.15.102
  
      length          : 7334912
  
      sampletype      : mp4a
  
      timescale       : 48000
  
      encoder         : Lavf56.16.102
  
      Stream #0:0: Video: h264 (libx264), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 12800 tbn, 25 tbc
  
      Metadata:
  
        encoder         : Lavc56.19.100 libx264
  
      Stream #0:1: Audio: aac, 48000 Hz, stereo
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  
    Stream #0:1 -> #0:1 (copy)

• FFMPEG "Segmentation fault" with network stream source

  23 décembre 2023, par user11186466

  I use release : 4.2.2 (static) from "https://johnvansickle.com/ffmpeg/"

  



  Final code will be on "Amazon AWS lambda"

  



  Goal : use a url stream and add watermak

  



  Link to video : ​https://feoval.fr/519.mp4

  



  Link to Watermak : ​https://feoval.fr/watermark.png

  



  ./ffmpeg -i "https://feoval.fr/519.mp4" -i "./watermark.png" -filter_complex "overlay=W-w-10:H-h-10:format=rgb" -f "mp4" -movflags "frag_keyframe+empty_moov" -pix_fmt "yuv420p" test.mp4


  



  return "Segmentation fault"

  



  I have the same error on my computer and on AWS Lambda server

  



  ./ffmpeg -i "https://feoval.fr/519.mp4" -f "mp4" -movflags "frag_keyframe+empty_moov" -pix_fmt "yuv420p" test.mp4


  



  work (but not watermak)

  



  ./ffmpeg -i "./519.mp4" -i "./watermark.png" -filter_complex "overlay=W-w-10:H-h-10:format=rgb" -f "mp4" -movflags "frag_keyframe+empty_moov" -pix_fmt "yuv420p" test.mp4


  



  work (but not with stream)

  



  Thanks you very much !

  



  Logs for the first case who return "Segmentation fault" :

  



  ...
Stream mapping:
Stream #0:0 (h264) -> overlay:main (graph 0)
Stream #1:0 (png) -> overlay:overlay (graph 0)
overlay (graph 0) -> Stream #0:0 (libx264)
Stream #0:1 -> #0:1 (aac (native) -> aac (native))
Press [q] to stop, ? for help
[libx264 @ 0x742e480] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX
[libx264 @ 0x742e480] profile High, level 3.1, 4:2:0, 8-bit
[libx264 @ 0x742e480] 264 - core 159 r2991 1771b55 - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - ​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 'test.mp4':
Metadata:
major_brand : mp42
minor_version : 1
compatible_brands: isommp41mp42
encoder : Lavf58.29.100
Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 480x848, q=-1--1, 30 fps, 15360 tbn, 30 tbc (default)
Metadata:
encoder : Lavc58.54.100 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
Metadata:
creation_time : 2020-01-13T08:54:26.000000Z
handler_name : Core Media Audio
encoder : Lavc58.54.100 aac
Segmentation fault (core dumped)


  


• How Media Analytics for Piwik gives you the insights you need to measure how effective your video and audio marketing is – Part 1

  31 janvier 2017, par InnoCraft — Community

  Do you have video or audio content on your website or in your app ? If you answered this with yes, you should continue reading and learn everything about our Media Analytics premium feature.

  When you produce video or audio content, you are either spending money or time or often both money and time on your content in the hope of increasing conversions or sales. This means you have to know how your media is being used, when it is used, for how long and by whom. You can simply not afford not to know how this content affects your overall business goals as you are likely losing money and time by not making the most out of it. Would you be able to answer any of the above questions ? Do you know whether you can justify the cost and time for producing them, which videos work better than others and how they support your marketing strategy ? Luckily, getting all these insights is now so trivial it is almost a crime to not measure it.

  Getting Media Analytics and Installation

  Media Analytics can be purchased from the Piwik Marketplace where you find all sorts of free plugins as well as several premium features such as A/B Testing or Funnel. After the purchase you will receive a license key that you can enter in your Piwik to install and update the plugin with just one click.

  The feature will in most cases automatically start tracking your media content and you don’t even need to change the tracking code on your website. Currently supported players are for example YouTube, Vimeo, HTML 5, JW Player, VideoJS and many more players. You can also easily extend it by adding a custom media player or simply by letting us know which player you use and we will add support for it for you.

  By activating this feature, you get more than 15 new media reports, even more exportable widgets, new segments, APIs, and more. We will cover some of those features in this blog post and in part 2. For a full list of features check out the Media Analytics page on the Piwik Marketplace.

  Media Overview

  As the name says, it gives you an overview over your media usage and how it performs over time. You can choose any media metrics in the big evolution graph and the sparklines below give you an overview over all important metrics in a glance.

  

  It lets you for example see how often media was shown to your users, how often users start playing your media, for how long they watched it, how often they finished it, and more. If you see some spikes there, you should definitely have a deeper look at the other reports. When you hover a metric, it will show you a tooltip explaining how the data for this is collected and what it means.

  Real-Time Media

  On the Real-Time page you can see how your content is being used by your visitors right now, for example within the last 30 minutes, last 60 minutes and last 24 hours.

  It shows you how many plays you had in the last minutes, for how long they played it, and it shows you currently most popular media titles. This is great to discover which media content performs best right now and lets you make decisions based on user behaviour that is happening right now.

  

  Below you can see our Audience Real-Time Map that shows you from where in the world your media is being played. A bigger circle indicates that a media play happened more recently and of course you can zoom in down to countries and regions.

  

  All the reports update every few seconds so you can always have a look at it and see in just a second how your content is doing and how certain marketing campaigns affect it. All these real-time reports can be also added as widgets to any of your Piwik Dashboards and they can be exported for example as an iframe.

  Video, Audio and Media Player reports

  Those reports come with so many features, we need a separate blog post and cover this in part 2.

  Events

  Media Analytics will automatically track events so you can see how often users pressed for example play or pause, how often they resumed a video and how often they finished a video. This helps you better understand how your media is being used.

  

  For example in the past we noticed a couple of videos with lots of pause and resume events. We then had a look at the Audience Log – which we will cover next – to better understand why visitors paused the videos so often. We then realized they did this especially for videos that were served from a specific server and because the videos were loading so slow, users often pressed pause to let the media buffer, then played the media for a few seconds and then paused it again as they had to wait for the video to load. Moving those videos to another, faster server showed us immediate results in the number of pauses going down and on average visitors watched the videos for much longer.

  Audience Log

  At InnoCraft, we understand that not only aggregated metrics matter but also that you often need the ability to dig into your data and “debug” certain behaviours to understand the cause for some unusual high or low metrics. For example you may find out that many of your users often pause a video, then you wonder how each individual user behaved so you can better understand the why.

  

  The audience log shows you a detailed log of every visitor. You can chronologically see every action a visitor has performed during their whole visit. If you click on the visitor profile link, you can even see all visits of a specific visitor, and all actions they have ever performed on your website.

  This lets you ultimately debug and understand your visitors and see exactly which actions they performed before playing your media, which media they played, how they played your media, and how they behaved after playing your media.

  The visitor log of course also shows important information about each visitor like where they came from (referrer), their location, software, device and much more information.

  Audience Map

  The Audience Map is similar to the Real-Time Map but it shows you the locations of your visitors based on a selected date range and not in real time. The darker the blue, the more visitors from that country, region or city have interacted with your media.

  

  Coming in part 2

  In the next part we will cover which video, audio and media player reports Media Analytics provides, how segmenting gives you insights into different personas, and how nicely it integrates into Piwik.

  How to get Media Analytics and related features

  You can get Media Analytics on the Piwik Marketplace. If you want to learn more about this feature, you might be also interested in the Media Analytics User Guide and the Media Analytics FAQ.