Video Analytics. Face and Facial Expression Recognition (inbunden)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
87
Utgivningsdatum
2019-01-19
Upplaga
1st ed. 2019
Förlag
Springer Nature Switzerland AG
Medarbetare
Shen, Chunhua (red.)/Wang, Jingdong (red.)/Xia, Gui-song (red.)/Yan, Shuicheng (red.)/Zhang, Zhaoxiang (red.)/Nasrollahi, Kamal (red.)/Hua, Gang (red.)/Moeslund, Thomas B. (red.)/Ji, Qiang (red.)
Illustrationer
30 Illustrations, color; 8 Illustrations, black and white; IX, 87 p. 38 illus., 30 illus. in color.
Dimensioner
234 x 156 x 5 mm
Vikt
150 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783030121761

Video Analytics. Face and Facial Expression Recognition

Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers

av Xiang Bai, Zhaoxiang Zhang, Yi Fang, Yangqing Jia, Meina Kan
Häftad,  Engelska, 2019-01-19
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This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018. The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal with topics such as histopathological images, action recognition, scene text detection, speech recognition, object classification, presentation attack detection, and driver drowsiness detection.
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Fler böcker av författarna

Xiang Bai, Zhaoxiang Zhang, Yi Fang, Yangqing Jia, Meina Kan

Innehållsförteckning

Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance.- Three-Stream Convolution Networks after Background Subtraction for Action Recognition.- Scene Text Detection with A SSD and Encoder-Decoder Network Based Method.- Effective SVD-based Deep Network Compression for Automatic Speech Recognition.- Evaluation of Group Convolution in Lightweight Deep Networks for Object Classification.- Image-based Driver Drowsiness Detection.- Continuous Presentation Attack Detection in Face Biometrics based on Heart Rate.

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