Video Analytics. Face and Facial Expression Recognition

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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.


Inhalt
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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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030121761
    • Auflage 1st edition 2019
    • Editor Xiang Bai, Zhaoxiang Zhang, Kamal Nasrollahi, Gang Hua, Thomas B. Moeslund, Jingdong Wang, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Qiang Ji, Gui-Song Xia, Shuicheng Yan
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T6mm
    • Jahr 2019
    • EAN 9783030121761
    • Format Kartonierter Einband
    • ISBN 3030121763
    • Veröffentlichung 19.01.2019
    • Titel Video Analytics. Face and Facial Expression Recognition
    • Untertitel Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
    • Gewicht 166g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 100
    • Lesemotiv Verstehen

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