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Cognitive Video Services

Accurate | Automated | Scalable

Cognitive Video Services

Cognitive Video Services

Accurate | Automated | Scalable

Trending

Trending

Unlocking new revenue streams using AI 

Operators are shifting focus & also eyeing business opportunities in areas like Smart Home Services, Security & Surveillance Services, Smart Infrastructure Service, etc.

Buying Trends survey shows a massive boost in AI and machine learning adoption in the broadcast and media industry, with 68% of organizations stating they are likely or very likely to deploy AI in the next 2-3 years. Applications for Digital Asset Management (DAM) is estimated to reach $8.1 billion by the end of 2024.

As more content is generated and is getting more democratized, there are several challenges to be addressed. To ensure that the right content is served to the right audience and that the viewers discretion is honoured, AI-based content moderation and curation becomes essential.

Trending
Opportunities & Challenges

Opportunities & Challenges

Opportunities & Challenges

Real time, efficient tagging and indexing of huge volumes of stored / archived unstructured video data is a major challenge; as this is currently done manually. Unlike conventional automation processes(which are mostly rule-based) AI algorithms can analyze a massive amount of data, mine patterns, correlate data from various sources and can generate intelligent insights.

Furthermore, AI can enhance customer experience by analyzing viewing patterns, social media footprint, demographic details of local communities that result in increased click-throughs and also for dynamic insertion of highly relevant advertisements.

Artificial Intelligence offers exciting cognitive video applications for broadcasters and operators, such as automatic cataloging of metadata, video search results personalized for action, genre, highlights, timing, characters, etc., facial recognition, object detection, audio effects detection, speech to text, analysis of the sentiment of images, transcription, and automatic translation. 

Service Framework

Cognitive Video Services
Core Features

Image tagging

Hierarchical object detection

Named entity recognition such as: Action detection, Scene recognition, Face recognition, Emotion Recognition, Strong Language

Explicit content & Violence detection

Automatic highlights generation for sports

Talk show Magic Moments creation

Service Features

Generic data repository

AI model repository for differnet applications

Speech & text-based query engine

Compatible across platforms

Cloud agnostic Application software

 

Differentiators

  • No dependency on training data collection
  • Generic data repository 
  • Customized inference packages   
  • Requirement specific expert systems   
  • Flexible architecture  
  • Ability to compute at the edge
  • A self-evaluating, continuous learning system
  • NLP/NLU/Context awareness

Benefits to the Customer

  • Reduce time-to-market by up to 50%
  • Algorithm accuracy of over 90% for face detection, eye-gaze and head-pose detection already achieved
  • Easily customizable to suit customer needs
  • 50% Reduction in the time taken to generate Sports Match Highlights 
  • 80% Automation of Highlights & Violence Detection workflow is 80% more effective compared to the manual process

Insights & Experiences

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