Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless

This article describes an innovative approach to semantic video search using large vision models (LVMs) on AWS services, enabling users to search video content using natural language or image queries.

• Uses open-source multimodal models like CLIP, OpenCLIP, and SigLIP for zero-shot video search
• Leverages Amazon SageMaker for model deployment and processing
• Utilizes Amazon OpenSearch Serverless as a vector database for efficient search
• Implements techniques like temporal smoothing and clustering to improve search results
• Supports both text and image-based video search across diverse use cases

The solution provides a flexible, cost-effective method for semantic video search without requiring extensive machine learning expertise, adaptable to various applications like content discovery, video editing, and moderation.