Agentic Video Understanding with Gemini: A Cost-Effective Approach

Agentic video understanding with Gemini is a method that reduces processing cost by allowing the model to use tools such as transcript extraction and frame selection instead of analyzing the entire video.

- The problem with naive video processing: high token usage and irrelevant information
- The agentic approach: using tools like get transcript, get frames, and get audio
- The agentic loop: thinking, acting, observing, and repeating until an answer is derived
- Benefits: lower token usage and better performance through targeted attention

This technique suits developers and AI practitioners who want to build efficient video analysis systems. After watching, you will understand how to set up an agentic pipeline and select the appropriate tools for a given query.