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
Published on 19. January 2019
Book
Paperback/Softback
IX, 87 pages
978-3-030-12176-1 (ISBN)
Description
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.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
30 farbige Abbildungen, 8 s/w Abbildungen
IX, 87 p. 38 illus., 30 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 6 mm
Weight
166 gr
ISBN-13
978-3-030-12176-1 (9783030121761)
DOI
10.1007/978-3-030-12177-8
Schweitzer Classification
Other editions
Additional editions
Xiang Bai | Yi Fang | Yangqing Jia
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
E-Book
01/2019
Springer
€53.49
Available for download
Content
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.