VADER: Towards Causal Video Anomaly Understanding with Relation-Aware Large Language Models

Ying Cheng, Yu-Ho Lin, Min-Hung Chen +2

Video anomaly understanding (VAU) aims to provide detailed interpretation and semantic comprehension of anomalous events within videos, addressing limitations of traditional method…