Video semantic search with AI on AWS

This article discusses a comprehensive solution for video semantic search using AWS AI and machine learning services, enabling efficient content discovery and retrieval for media organizations.

• Leverages multiple AWS services like Amazon Bedrock, Rekognition, Transcribe, and OpenSearch Serverless
• Allows semantic search across video content using natural language queries
• Uses AI models to extract metadata, detect celebrities, analyze video shots, and generate detailed descriptions
• Supports multimodal search capabilities using text, images, and video frames
• Utilizes foundation models like Amazon Nova for advanced video understanding

The solution provides a serverless architecture that transforms untagged video content into searchable, contextually rich media assets, offering significant productivity gains for media and entertainment industries.