Detecting micro-expression intensity changes from videos based on hybrid deep CNN

Thuseethan, Selvarajah, Rajasegarar, Sutharshan and Yearwood, John Leighton 2019, Detecting micro-expression intensity changes from videos based on hybrid deep CNN, in PAKDD 2019 : Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Cham, Switzerland, pp. 387-399, doi: 10.1007/978-3-030-16142-2_30.

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Title Detecting micro-expression intensity changes from videos based on hybrid deep CNN
Author(s) Thuseethan, Selvarajah
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736
Yearwood, John LeightonORCID iD for Yearwood, John Leighton orcid.org/0000-0002-7562-6767
Conference name Knowledge Discovery and Data Mining. Conference (23rd : 2019 : Macau, China)
Conference location Macau, China
Conference dates 2019/04/14 - 2019/04/17
Title of proceedings PAKDD 2019 : Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining
Editor(s) Yang, Qiang
Zhou, Zhi-Hua
Gong, Zhiguo
Zhang, Min-Ling
Huang, Sheng-Jun
Publication date 2019
Series Knowledge Discovery and Data Mining Conference
Start page 387
End page 399
Total pages 13
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Micro-expression intensity
Convolutional Neural Networks
Hybrid framework
Fusion mechanism
ISBN 9783030161415
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-16142-2_30
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2019, Springer Nature Switzerland AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121970

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