The New Breed of Metadata in the Media Industry

New Breed of Metadata

How do you monetize your hidden content if you can’t find it? In our blog post, we explore how AI improves search with massive amounts of video.

Over half of all consumer Internet traffic is video. This means it would take an individual 5 million years to watch the amount of video that will cross global networks every single month. In order to keep up with the growing volume of user generated and professionally produced content, intelligent machines have been harnessed to watch videos for you. As a result, Artificial Intelligence (AI) is now powering solutions from automated media asset management to end-user applications for content discovery.


Today, AI can automatically reach down into content and create descriptive metadata to be used in search, tracking and decision making. Video understanding systems are now capable of watching content at a superhuman speed and for example identify people, recognize visual objects and listen to audio. This allows us to move beyond video titles, creator names and other superficial keywords that describe our content.


Processing content through a video analysis AI, it can automatically reach down into content data that has not been searchable in the past. Smart systems can point out the details of your content so that you can save time. For example, production teams can quickly find clips where actors are portraying specific facial expressions in different settings. In addition to workflow efficiency, enriched metadata also clears the way for new revenue opportunities in advertising.


The ability to adapt AI and utilize data is going to become a defining attribute of competitive advantage for companies working with video in the coming years. Furthermore, content understanding machines are already building a foundation for solutions that address business needs by:

  • creating more relevant ways of consumption that are based on automated recommendation systems and discovery
  • extracting insights from video assets supporting decision-making
  • matching the right content data with the right viewers
  • building links for content across different media sources

¦just to name a few examples.

Therefore, if you have video content and you’re curious, it’s worthwhile to take a closer look at artificial intelligence. Combining AI with smart content management systems can help you capture new, untapped value of videos.

This blog post was originally published at Vidispine blog. Vidispine aims to standardize media asset management, enabling organizations to focus on their business instead of technology. The recently announced Valossa Search will be made available as an API to be used in existing asset management solutions, like Vidispine.  Valossa Search is able to more accurately identify scenes, topics, or actors by combining all semantic information in an audiovisual data stream into a natural discovery experience.  Meet Valossa and Vidispine at booth 3.A23 at IBC.

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