Content on the Move: Top 5 Things You Need to Know About Dynamic Cloud Archives #6

Content on the Move: Top 5 Things You Need to Know About Dynamic Cloud Archives #6

Andy Hurt September 5, 2018

#6: They Contain Metadata to Fuel Monetization

Ha! Well, I thought I was only going to talk about five things, but there’s something else that makes dynamic cloud archives so great — metadata enrichment. I couldn’t sleep or end the series without telling you about it because it’s one of the crucial keys to monetization.

At the beginning of this series, I mentioned that dynamic cloud archives make it easy for people to find and retrieve just what you’re looking for quickly and easily thanks to enriched metadata. Rich metadata powers advanced video search and recommendation engines that lie at the heart of buying and viewing decisions.

What does that mean, exactly? And why should you care?

Most assets enter an archive with a full load of technical metadata and sometimes even basic descriptive metadata, but that metadata isn't enough for monetization. You need a thorough description of the content so that you can find it and possibly turn it into clips people request. Not just information from the camera or quick tags like an actor’s or player’s name, but details gleaned from what’s being said and done in the video or audio.

Maybe it’s a movie scene with certain characters talking about a certain subject at, say, Christmas Eve dinner. Or a specific play in a football game involving certain positions on, say, a rainy night in October 2016. That’s the type of detail people will search by when they’re looking for clips to use in their projects.

And if they can find it, then they can buy the rights to use it.

That’s why it’s important to have a viable process in place for capturing detailed metadata. The Wazee Digital Core cloud-native dynamic archive and management platform comes with granular-level metadata and search algorithms that do just that ... automatically.

Wazee Digital's automated metadata-capture technology extracts a wide range of asset-level and time-based metadata detail from the content itself during ingest. Core uses a series of automated workflows that enable phonetic keyword scanning and transcript synchronization. Further Veritone’s industry-leading AI technology for automated metadata extraction and analysis is now firmly embedded within Core. This means that the information that is gleaned is also automatically enriched with metadata containing recognitions such as facial, logo, sentiment, object, and much more. So, as a Core user, you can seamlessly integrate a wide range of advanced cognitive engines and applications with your digital media archives.

There are all sorts of artificial intelligence technologies at play. Here are just a few:

  • Transcription to convert spoken audio and video recordings into readable text.
  • Facial and object recognition to identify and index people, optical characters, license plates, logos, weapons, animals, and more.
  • Sentiment engines to discern the tone behind a series of words and use it to understand the attitudes, opinions, and emotions expressed.
  • Translation engines to translate written text from one language to another.

By putting automated metadata extraction to work, you can maximize your metadata and, in turn, maximize your monetization.

And with that, this blog series is officially finished! No joke this time. But this could be just the beginning for you.

Call or email us for a demo. We’ll show you how a dynamic cloud archive can help you make the most of your content.