Build Visual Agents for Video Search and Summarization

Опубликовано 4 ноября 2024, 16:06

The NVIDIA AI Blueprint for video search and summarization enables interactive visual AI agents to extract complex activities from large volumes of live or archived video. Integrating with vision-language models (VLMs), large language models (LLMs), and NVIDIA NIM, it allows developers to build agents that analyze video content, answer queries, generate summaries, and trigger alerts for specific scenarios.

Read the announcement blog: nvda.ws/48xJuPB
Explore the technical details: nvda.ws/4e4dWlv
Learn more: nvda.ws/3Ypmlu1

00:00–00:13 - Select a long-form video file
00:14–00:17 - Set chunk size to enhance efficiency
00:21–00:30 - Prompt the agent to find important objects and events in the video
00:33–00:46 - Prompt the agent to produce the video summary in a specific format
00:47–00:53 - A chat is executed to process the video and retrieve a summarization
00:54–01:03 - The summarization prints event highlights with associated timestamps
01:04–01:12 - Significant events from the video are captured in the summarization
01:13–01:44 - Make custom inquiries about events within the video