Agentic video understanding in Gemini
Gemini uses agentic tool-calling loops to selectively process video segments instead of entire videos
“With agentic video understanding, we don't give the model the entire video. We give the reference to the video and a model can then decide”
Google demonstrated an agentic video processing pipeline for Gemini that replaces naive full-video ingestion (100k+ tokens) with a think-act-observe loop using tools like get_transcript, get_frames, and get_audio. The model selectively pulls only the video segments relevant to the query, reducing token cost while improving answer quality. This is a practical engineering pattern for multimodal agents handling long-form video.