Video - Automated Metadata Generation for Media Websites - Recosense Labs Inc

Recosense Labs Inc

Video – Automated Metadata Generation for Media Websites

Automated Metadata Generation for Media Websites

Content publishers and media websites constantly deal with massive amounts of data, and there is an urgent need to manage and work with it effectively. Metadata is the basic information that can be retrieved about the huge/big data that is available. This helps in making, finding and working with data instances easier. Operating with metadata is less time-consuming and more efficient as it incorporates better interoperability, cataloging, and longevity.

For example, an OTT platform, like Netflix, launches at least 10-20 videos per day, so basic metadata isn’t enough in this case, which is why companies invest a lot of resources in generating advanced metadata. 

 Common Metadata Includes:

  • The type of data -whether it is text, video or audio
  • Who created the data?
  • When was it published?
  • How big is the data?
  • How should it be encoded?
  • Which software created it?
 

The Need for Automated Metadata Enrichment 

Generally, metadata can be created manually, but automated metadata with basic information generates more accuracy. You can start by defining internal, public and confidential labels and then run your ML – machine learning algorithms to group large volumes of our data into these specified classes. This helps you sort our data into several categories to focus on governance and risk mitigation efforts. 

  • The other way is to use clustering through AI to automatically and independently detect patterns within the data to sort it into groups. This will help you to detect and discover potential categories that otherwise could never be found.
  • Although the algorithm automates the rote work of analysing every file, it is your critical thinking and ability to assign correct and meaningful labels to the different categories. 
  • The process of ML can help you identify content in minimum time, bifurcate the data under different labels, and finally generate the outcome of visibility into large volumes of unstructured data for ongoing governance. 
 

Advantages of Automating Metadata Enrichment?

It is substantial to simplify and unify the data across the organisation, and there are many advantages of automating this process:

  1. Cost-effective by saving huge amounts required to generate metadata.
  2. Efficiency by saving 100’s of hours that are manually spent on generating metadata.
  3. Consistency as the process follows a stringent protocol with no room for inconsistency or error.
  4. Open doors to new possibilities by running complex mapping and correlations to manage and use data. 
 

Advantages to Media Websites from Automated Metadata Generation and Enrichment

Media websites deal with a lot of content daily, which has a limited lifespan. This process automates the entire process and ensures every piece of content is utilised and made available to the users. It involves the process of generating, maintaining, and enriching metadata and making it available for your viewers almost instantaneously.

 

RecoSense offers a cognitive computing platform based on machine learning frameworks and natural language processing to build unified metadata for every piece of content and interpret the context of the content. RecoSense IP Knowledge graph understands contextual definitions and automatically builds unified metadata by identifying categories, sentiments, personalities, topics, language, location, sub-topics, events and organisations. Media websites can now rely on such platforms to categorize content and data into languages and digital properties without much manual intervention and make metadata more relevant and trouble-free to dynamically generate and enrich it.