Deep Learning for Video Understanding

This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spatial and temporal feature learning. For action recognition, the authors introduce classical framew...

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Bibliographic Details

Main Authors:	Wu, Zuxuan (Author), Jiang, Yu-Gang (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Wireless Networks,
Subjects:	Telecommunication. Signal processing. Computer vision. Multimedia systems. Communications Engineering, Networks. Signal, Speech and Image Processing. Computer Vision. Multimedia Information Systems.
Online Access:	https://doi.org/10.1007/978-3-031-57679-9
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