An enhanced 3DCNN‐ConvLSTM for spatiotemporal multimedia data analysis-Reference-Cited by-同舟云学术

An enhanced 3DCNN‐ConvLSTM for spatiotemporal multimedia data analysis

Published:2019-04-16 Issue:2 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wang Tian¹,Li Jiakun¹,Zhang Mengyi²,Zhu Aichun³,Snoussi Hichem⁴,Choi Chang⁵^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering Beihang University Beijing China

2. College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

3. School of Computer Science and Technology Nanjing Tech University Nanjing China

4. Institut Charles Delaunay University of Technology of Troyes Troyes France

5. IT Research Institute Chosun University Gwangju South Korea

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

National Research Foundation of Korea

Natural Science Foundation of Jiangsu Province

European Regional Development Fund

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5302

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5. Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram

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