ai scene analysis - Bitmovin

Bitmovin’s AI Innovations

Enhance Your VOD Workflows with
AI-Powered Scene-Level Metadata

AI Scene Analysis enhances your VOD workflows by using to multi-modal AI to automatically generate detailed metadata that reflects the context of every scene. This enables more personalized viewing experiences, more effective ad targeting, and faster time to market. By embedding scene intelligence into the encoding process, it helps streaming platforms deliver content that performs better across search, discovery, and monetization.

What is AI Scene Analysis

AI Scene Analysis is integrated directly into Bitmovin’s VOD Encoder, running automatically during the encoding process to capture scene-level context in real time. By analyzing visual, audio and narrative elements across the video timeline, it generates metadata that powers downstream workflows like dynamic ad placement, highlight creation, and personalized recommendations. This automation replaces time-consuming manual tagging, enabling development and content teams to move faster, deliver more relevant experiences, and support new monetization strategies without disrupting existing infrastructure.

ai scene analysis - Bitmovin

Core workflows enabled through AI Scene Analysis

ai scene analysis - Bitmovin
ai scene analysis - Bitmovin
ai scene analysis - Bitmovin
ai scene analysis - Bitmovin
ai scene analysis - Bitmovin

Key Benefits with AI Scene Analysis for VOD

AI Scene Analysis is shaping the future of streaming by enabling smarter workflows that benefit both the development teams and audiences everywhere by empowering:

  • Detailed scene-level metadata generation
  • Smarter ad breaks
  • More relevant ad experiences with IAB taxonomy mapping
  • Increased revenue potential
  • Improved viewer experiences
  • Seamless integration with Bitmovin’s solution suite

AI Scene Analysis Pipelines

ai scene analysis - Bitmovin
ai scene analysis - Bitmovin

Partnerships

Cloud AI Infrastructure

AI Scene Analysis leverages leading AI infrastructure to run mutli-modal AI analysis to deliver precise scene-level metadata for smarter workflows. 
It is currently enabled with Google Cloud infrastructure, with AWS and Azure OpenAI support coming soon. These integrations provide flexibility, allowing streaming platforms to choose the AI & cloud provider that best fits their existing workflow and infrastructure needs.

Contextual Advertising – Example pipeline

ai scene analysis - Bitmovin
ai scene analysis - Bitmovin

Case study

STIRR

How STIRR Uses AI Scene Analysis to Improve Ad Timing, Personalize Playback, and Drive Revenue

“At STIRR, we’re not just reimagining streaming—we’re building the future where content, context, and commerce converge seamlessly. By integrating Bitmovin’s AI Scene Analysis, Data Graphs and Aniview technology, we’ve created an ecosystem where passive viewing transforms into active engagement across all screens. This isn’t incremental improvement; it’s a fundamental shift in how audiences discover, interact with, and monetize content. As we expand globally, this partnership enables us to deliver personalized experiences that address the ‘4S behaviors’—streaming, scrolling, searching, and shopping—within a single, cohesive platform. The result is not just higher CPMs and engagement metrics, but an entirely new paradigm for what streaming can be.”

Multiview Playback - Bitmovin
Todd Carter Co-Founder and CEO of Thinking Media

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