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Video Analytics. Face and Facial Expression Recognition Xiang Bai

Video Analytics. Face and Facial Expression Recognition By Xiang Bai

Video Analytics. Face and Facial Expression Recognition by Xiang Bai


Video Analytics. Face and Facial Expression Recognition Summary

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 by Xiang Bai

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.

Table of Contents

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.

Additional information

NLS9783030121761
9783030121761
3030121763
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 by Xiang Bai
New
Paperback
Springer Nature Switzerland AG
2019-01-19
87
N/A
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