ArXiv Preprint – MM-VID: Advancing Video Understanding with GPT-4V(ision)

In this episode we discuss MM-VID: Advancing Video Understanding with GPT-4V(ision)
by Kevin Lin, Faisal Ahmed, Linjie Li, Chung-Ching Lin, Ehsan Azarnasab, Zhengyuan Yang, Jianfeng Wang, Lin Liang, Zicheng Liu, Yumao Lu, Ce Liu, Lijuan Wang. The paper introduces MM-VID, a system that incorporates GPT-4V with vision, audio, and speech experts to enhance video understanding. It focuses on handling complex tasks like tracking character storylines across multiple episodes. The paper showcases the capabilities of MM-VID through detailed responses and demonstrations in various figures.