Fast Video Comprehension through Large Language Models with Multimodal Tools

The core message of this paper is that the key to effectively reasoning about videos using large language models (LLMs) is to focus on the most relevant video events, which can be achieved by leveraging lightweight multimodal tools for structured and descriptive video content extraction, and an efficient Instruction-Oriented Video Events Recognition (InsOVER) algorithm for aligning language instructions with video events.