NVIDIA-AI-Blueprints/video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

What it solves

This project provides a reference architecture for building GPU-accelerated AI agents that can analyze, search, and summarize large volumes of video data. It addresses the difficulty of extracting actionable insights from live video streams or massive archives by combining computer vision, vision-language models (VLMs), and large language models (LLMs).

How it works

The system is built on a modular, microservice-based architecture that processes video through three main layers:

  1. Real-time Video Intelligence: Extracts visual features, embeddings, and semantic metadata from video streams.
  2. Downstream Analytics: Transforms raw metadata into structured incidents, trajectories, and alerts.
  3. Agentic Processing: Uses an agent framework (supporting the Model Context Protocol) to allow users to interact with video data via natural language, enabling tasks like Q&A, long-video summarization, and automated alert verification.

Who it’s for

This blueprint is designed for developers and engineers building vision-AI applications. It is particularly useful for:

  • Video Analysts and IT Engineers: Those needing to deploy robust video monitoring, search, and reporting systems.
  • GenAI/ML Engineers: Professionals who need a customizable, scalable pipeline to integrate VLM/LLM capabilities into existing video infrastructure.

Highlights

  • Natural Language Interaction: Query video archives or live streams using plain English.
  • Real-time Alert Verification: Reduces false positives in security or operational monitoring by using VLMs to verify detected events.
  • Long-Video Summarization: Automatically generates structured reports and event summaries for extended video footage.
  • Modular Architecture: Includes pre-configured microservices for video ingestion, analytics, and agentic workflows, deployable via Docker Compose or Helm.

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