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.
Core workflows enabled through AI Scene Analysis
Contextual Ad Targeting
Aligns ads with scene content using IAB categories for more relevant VOD ad experiences.
Automated Ad Scheduling
Detects transitions and inserts SCTE markers for accurate VOD ad breaks.
Highlight & Trailer Generation
Identifies key moments to simplify the creation of highlight reels and trailers.
Enhanced Content Discovery
Improves search and recommendations with enriched scene metadata.
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
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
Case study
STIRR
“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.”
