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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 de Xiang Bai

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: Lecture Notes in Computer Science, cartea 11264

Editat de Xiang Bai, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang, Gui-Song Xia, Shuicheng Yan, Zhaoxiang Zhang, Kamal Nasrollahi, Gang Hua, Thomas B. Moeslund, Qiang Ji
en Limba Engleză Paperback – 19 ian 2019
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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Specificații

ISBN-13: 9783030121761
ISBN-10: 3030121763
Pagini: 87
Ilustrații: IX, 87 p. 38 illus., 30 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.15 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Cuprins

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.