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 (VLM
Develop video analytics applications that can search and summarize video content.
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Free · no card · unsubscribe anytimeNVIDIA 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 (VLM
video-search-and-summarization has 1.8k stars on GitHub. It has been forked 381 times. video-search-and-summarization is written mainly in C++. It has been in active development since 2024. Its main topics are computer-vision, generative-ai, long-video-understanding, model-context-protocol.
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 (VLM
video-search-and-summarization is an open-source project.
Yes. video-search-and-summarization is free and open source — you can use, modify and self-host it.
video-search-and-summarization is written mainly in C++.
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