Make every content minute discoverable, reusable or advertisable

What is AI Scene Analysis?

AI Scene Analysis transforms your video content into structured, actionable metadata by analyzing each scene for context, themes, and characteristics. This scene-level approach goes beyond basic shot detection to understand the meaning and context of your content.

Why Scene-Level Analysis?

Scene-level metadata enables:

More granular recommendations and search
Better understanding of user behavior
Optimal ad placement at natural content boundaries
Rich contextual data for AI-powered workflows

Key Capabilities

Comprehensive Scene Analysis Output

AI Scene Analysis will output a JSON structure from the analysis, either available via API or sent to an output bucket of your choosing.

Each output contains following metadata on a scene-by-scene basis:

Scene Boundary Timing: Precise start and end timestamps
Summary: Brief description of the scene
Verbose Summary: A much more verbose descriptions, great for RAG use cases.
Scene Type: Credits, main content, etc.
Visual Elements: Objects, brands, settings, locations
Characters : Descriptions and names
Atmosphere: Mood, lighting, time of day, weather
Content Classification: IAB taxonomies and keywords
Sensitive Topics: Content flags and sentiment analysis

As well as the following metadata for the asset as a whole:

Content ratings for multiple regions and systems
Overall content summary
Aggregated sensitive topic detection
IAB taxonomy classifications

Multi-Language Support

AI Scene Analysis not only supports assets of any language, but can also generate the full analysis outputs in multiple languages to serve global audiences.

Core Use Cases

Metadata is just metadata without action, so here's how the outputs from AI Scene Analysis can be used to drive business value and new customer experiences.

Pre-Integration with Bitmovin's VOD Encoder

AI Scene Analysis can run as an additional process in the encoding process by just setting a config value, making the set up incredibly easy for existing VOD customers without having to adapt their media pipelines.

Advertising - Intelligent Ad Placement

As part of the VOD workflow:

Specify ideal ad schedule positions
Automatically insert SCTE markers and key frames at nearest scene boundaries
_Coming soon: _Intelligent ad scheduling with opportunity scoring

Advertising - Contextual Advertising and Brand Safety

Replace cookie-based targeting with content-aware ad topics:

Identify optimal ad break locations at scene boundaries
Match ads to scene context using IAB taxonomies
- Or avoid ad topics based on the sensitive topics of the content
Enhance viewer experience with less disruptive ad topic

Integrated partners: AWS MediaTailor, Broadpeak, SpringServe

Content Discovery & Recommendations

Power sophisticated search and recommendation engines:

Scene-level metadata for granular cross-asset understanding
IAB taxonomy integration for standard categorization
Rich contextual data for better matching

Partners: ThinkAnalytics, DataGraphs

Operational Automation

Automate content workflows:

Highlights and points of interest extraction
Multi-language metadata for global distribution
Audio transcription for subtitles and captions [coming soon]
Thumbnail generation from key moments [coming soon]

Player UX Enrichment

Use metadata to enhance playback experiences:

Query scene information via API
Display contextual overlays
Power interactive features

Observability Context

Gain deeper insights into content performance:

Understand viewer behavior at scene level
Correlate QoE metrics with scene context
Identify high-engagement moments
Debug issues with content context