video-search-and-summarization
Reduces manual video review overhead and accelerates threat detection by enabling real-time search, summarization, and Q&A across video feeds without buildin…
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.
- Ask Claude to summarize key events from hours of surveillance or operational video footage quickly.
- Generate automated incident reports by analyzing video content and extracting relevant visual details.
- Find specific moments in video archives by searching for activities, objects, or conditions visually.
Reduces manual video review overhead and accelerates threat detection by enabling real-time search, summarization, and Q&A across video feeds without building custom pipelines.
Enterprise security and operations teams needing to extract actionable insights from video streams at scale with minimal latency.
https://github.com/NVIDIA-AI-Blueprints/video-search-and-sum...
By NVIDIA-AI-Blueprints
How to Get It
claude plugins install NVIDIA-AI-Blueprints/video-search-and-summarization
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Summarize key events from hours of surveillance or operational video footage quickly
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,749 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 1,749 GitHub stars; contributors unknown; last commit 0d ago; license no license.