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SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10888431

Authors: Shibo Gao, Peipei Yang, Linlin Huang

Institutions: Beijing Jiaotong University, Chinese Academy of Sciences, Institute of Automation

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Ministry of Science and Technology, National Natural Science Foundation of China

OpenAlex ID: W4408352467

FWCI: 3.954

Cites: 38

Cited by: 4

Related to: 10