Case Study
A GenAI Platform with 90% accuracy and Fast Video Metadata Tagging
Faster Metadata Tagging
Accuracy in Metadata Generation
Times the Video's Duration for Processing
Background
In the rapidly evolving media industry landscape, the surge in digital media consumption has created an immense need for advanced data analytics and data assets to optimise media spends and content strategies.
Our client an influential broadcast, research and audience measurement industry body in India, backed by broadcasters, advertisers, and media agencies, required a sophisticated system to tag and categorise news channel broadcasts. This was required for more effective media spend and content decisions. They wanted an intuitive solution that could automatically identify key elements such as news stories, sub-stories, and anchors, without depending on cloud infrastructure.
Tata Elxsi developed an on-premise GenAI platform, designed for efficient on-premise video tagging solution, that minimises cloud costs and is customisable for diverse use cases. These include automated content tagging for media archives, scene detection for video editors, ad placement optimization for advertising platforms, and personalized content recommendations for OTT services. Gen AI platform offers tailored solutions for industries needing fast, scalable, and cost-effective video metadata tagging.
Challenge
Tagging vast amounts of video content has always been a formidable task, requiring an efficient solution to provide actionable insights. Traditional manual tagging approaches were slow, error-prone, and struggled to keep up with the increasing volume of content, leading to delays and inefficiencies in data handling and insight generation.
Leveraging Tata Elxsi's GenAI platform, video metadata tagging is now automated, enabling faster, more accurate, and scalable tagging processes. Additionally, with the platform’s AI-powered video metadata tagging capabilities, models are frequently retrained with incremental data, ensuring up-to-date insights and maintaining high accuracy without the delays of manual retraining.
Solution
Our GenAI platform, is an innovative multi-agent workflow platform using advanced generative AI models to automate metadata tagging for video content.
Supporting up to six channels in Hindi and English, the solution processes 18 hours of content per channel daily. Key features include high accuracy tagging through multimodal AI models, efficient processing in just 0.3 to 0.5 times the video's duration, and comprehensive tagging that automates detailed metadata creation including channel name, program date, news story, and more. Additionally, AI-enabled post processing standardises outputs, while parallel processing delivers results within two hours.
The result was a cost-effective operation with, in-house deployment that utilises Tata Elxsi's on-premise systems equipped with GPUs and essential ML/DL stacks.
Impact
Tata Elxsi's GenAI platform, with its advanced automation led to a 35% reduction in operational costs, by minimising manual efforts and reliance on cloud-based solutions.
200x faster metadata tagging was achieved that improved the overall processing speed.
Additionally, 90% accuracy was achieved in metadata generation.
These advancements enabled the client to better adapt to the fragmented media landscape, driving more precise and actionable insights for stakeholders.
In the future, AI-driven metadata tagging will transform media content management, OTT platforms, advertising analytics, and personalized content delivery by enabling faster, more accurate, and scalable automation. Real-time and semantic tagging will provide deeper insights and enhance personalization for users, optimizing operations across these digital ecosystems. Integration with big data, multimodal tagging, and GenAI will streamline content management and enable valuable insights. As AI evolves, predictive tagging will enhance content discoverability, driving innovation across industries like media, advertising, AR/VR, and beyond.
Services rendered
Tata Elxsi
- Video Tagging
- Data Processing
- On-Premises Deployment
- Comprehensive Feature Integration
- Customised Solution Development