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TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

TimeChat is a time-sensitive multimodal large language model specifically designed for long video understanding. It incorporates two key architectural contributions: a timestamp-aware frame encoder that binds visual content with the timestamp of each frame, and a sliding video Q-Former that produces a video token sequence of varying lengths to accommodate videos of various durations.

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Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou (2025). Dataset: TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding. https://doi.org/10.57702/z8j50qno

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Additional Info

Field	Value
Created	January 3, 2025
Last update	January 3, 2025
Defined In	https://doi.org/10.48550/arXiv.2312.02051
Author	Shuhuai Ren
More Authors	Linli Yao Shicheng Li Xu Sun Lu Hou