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• Revision dbea726daf : Adds a source variance computation function Adds a function to compute source v

  1er août 2013, par Deb Mukherjee

  Changed Paths :
   Modify /vp9/common/vp9_common_data.c

  
   Modify /vp9/common/vp9_common_data.h

  
   Modify /vp9/encoder/vp9_encodeframe.c

  
  
  Adds a source variance computation function

  Adds a function to compute source variance for various
  sb_types to be used for pruning mode and partition searches.
  [The existing activity measure function is currently specialized
  for only 16x16 MBs and needs to be updated].

  Change-Id : I22a41e6f1430184201487326fdbebb9b47e6fc24

• Powerful Video Analytics and Audio Analytics for Piwik

  10 novembre 2016, par InnoCraft — Plugins, Press Releases

  Over the years, one of the most frequently requested feature by users was to be able to measure how videos and audios are watched and engaged with on your website. We are finally able to announce that it is here ! We are very excited to launch Media Analytics, which will help you understand and grow your audience.

  This article is a showcase of the new powerful video and audio analytics product built for Piwik.

  Why media analytics ?

  We all love media content such as videos as they can make our experiences on websites and apps so much more interesting. A growing number of websites now utilize media files in one form or another : a video presentation of a product or service, a video tutorial teaching you how to do something or interviews with key speakers. Also many creators and distributors are publishing audio files such as podcasts or music songs, and even broadcasting live video events such as music concerts or an entire conference online.

  Whenever you publish videos or audio media on your websites or applications, Media Analytics provides you with clear insights on how your audience interacts with your content. It helps you see what content works and why – so you can better understand and further grow your business !

  

  Valuable insights in Real time

  

  See where your audience comes from.

  How will Media Analytics help me grow ?

  • Better understand your audience : who are the users playing videos and for how long, how often, and where have they dropped off.
  • Gain quick insights into how interaction with your media changes over time with easy to use graphs and report overviews.
  • Get closer to your users by seeing every action of your visitors before and after they utilized your media.
  • View valuable insights in Real time : ‘most popular content right now’, your real time audience map, and more.
  • See where your audience comes from. Drill down right from continents to specifics such as cities.
  • Share and export media analytics reports with your colleagues by creating custom email reports.
  • Video and audio players are supported either automatically (for Youtube, Vimeo, HTML5…) or via a simple custom player integration.
  • No data limit and 100% privacy and data ownership.

  Best of all, it is easy to use and understand, and integrates perfectly with Piwik. Media Analytics complements other reports to give you a 360 degree view of how your users engage with your content.

  Learn more on the official website : www.media-analytics.net

  How do I get Media Analytics ?

  All premium plugins come with our 14 day money back guarantee and 1-click installation & updates. Customers get all product updates for free.

  Learn more about Media Analytics Get it now on the Marketplace

  Media Analytics is available for purchase and download on the Marketplace.

  If you are not using Piwik yet, you can also signup for a free trial of Piwik Cloud (including Media Analytics !).

  Have a question about this product ? Get in touch.

• Is it possible to separate voices coming to a single channel at runtime (karaoke principle) ?

  10 décembre 2022, par PineapplePie

  I wonder if it is possible to filter separately two voices at runtime ? Let's say, you're listening to a song and there is a singer (voice A) and you're singing as well (voice B), like in karaoke. My only guess - is to filter out any noise by NoiseSuppressor API and then measure the sound intensity, and assume that the voice A will have 40db and voice B - 50db (which is definitely not the way to go bc songs are mostly not linear like that). Maybe there is a way with using pitches/frequency ? If yes, is there any tool which could help me ? Or algo ? I searched for this in the FFMPEG documentation and read some articles, but it seems like it's extremely hard - because I will have the only channel (an android device) that receives both sounds - your singing and singer's singing.

  


  So maybe somebody could guide me on the right path where to look or what I could use/read ?