Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection

Xiangyu Huang; Caidan Zhao; Jinhui Yu; Chenxing Gao; Zhiqiang Wu

doi:10.1109/ICME55011.2023.00462

Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection

Xiangyu Huang, Caidan Zhao, Jinhui Yu, Chenxing Gao, Zhiqiang Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023
Publisher	IEEE Computer Society
Pages	2717-2722
Number of pages	6
ISBN (Electronic)	9781665468916
DOIs	https://doi.org/10.1109/ICME55011.2023.00462
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Multimedia and Expo, ICME 2023 - Brisbane, Australia Duration: Jul 10 2023 → Jul 14 2023

Publication series

Name	Proceedings - IEEE International Conference on Multimedia and Expo
Volume	2023-July
ISSN (Print)	1945-7871
ISSN (Electronic)	1945-788X

Conference

Conference	2023 IEEE International Conference on Multimedia and Expo, ICME 2023
Country/Territory	Australia
City	Brisbane
Period	7/10/23 → 7/14/23

ASJC Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications

Keywords

AutoEncoder
memory network
unsupervised learning
video anomaly detection

Access to Document

10.1109/ICME55011.2023.00462

Cite this

Huang, X., Zhao, C., Yu, J., Gao, C., & Wu, Z. (2023). Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection. In Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023 (pp. 2717-2722). (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/ICME55011.2023.00462

Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection. / Huang, Xiangyu; Zhao, Caidan; Yu, Jinhui et al.
Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023. IEEE Computer Society, 2023. p. 2717-2722 (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huang, X, Zhao, C, Yu, J, Gao, C & Wu, Z 2023, Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection. in Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023. Proceedings - IEEE International Conference on Multimedia and Expo, vol. 2023-July, IEEE Computer Society, pp. 2717-2722, 2023 IEEE International Conference on Multimedia and Expo, ICME 2023, Brisbane, Australia, 7/10/23. https://doi.org/10.1109/ICME55011.2023.00462

Huang X, Zhao C, Yu J, Gao C, Wu Z. Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection. In Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023. IEEE Computer Society. 2023. p. 2717-2722. (Proceedings - IEEE International Conference on Multimedia and Expo). doi: 10.1109/ICME55011.2023.00462

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title = "Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection",

keywords = "AutoEncoder, memory network, unsupervised learning, video anomaly detection",

author = "Xiangyu Huang and Caidan Zhao and Jinhui Yu and Chenxing Gao and Zhiqiang Wu",

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year = "2023",

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language = "English",

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AU - Zhao, Caidan

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AU - Gao, Chenxing

AU - Wu, Zhiqiang

PY - 2023

Y1 - 2023

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KW - memory network

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M3 - Conference contribution

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T3 - Proceedings - IEEE International Conference on Multimedia and Expo

SP - 2717

EP - 2722

BT - Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023

PB - IEEE Computer Society

T2 - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023

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ER -

Multi-Level Memory-Augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this