Towards Effective and Efficient Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval

This research focuses on improving the efficiency and effectiveness of multimodal large language models (LLMs) in understanding long videos. The approach utilizes one-shot clip retrieval, suggesting a method to quickly identify relevant video segments for analysis, potentially reducing computational costs and improving performance. The use of LLMs indicates an attempt to leverage advanced natural language processing capabilities for video understanding.

• •Focuses on improving long video understanding with multimodal LLMs.
• •Employs one-shot clip retrieval for efficiency.
• •Aims to reduce computational costs and improve performance.