Overview
- Gives a forum for stimulating and innovative research ideas in edutainment
- Contains detailed papers on up-to-date topics in edutainment
- Includes an editorial that gives a concise but informative introduction to each paper
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11782)
Part of the book sub series: Transactions on Edutainment (TEDUTAIN)
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About this book
The 27 papers presented in this issue were organized in topical sections named: e-learning and on-line apps; image and graphics; VR/AR; CV and AI; and animation and miscellaneous.
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Keywords
- artificial intelligence
- communication systems
- computer networks
- computer systems
- computer vision
- education
- engineering
- Human-Computer Interaction (HCI)
- image processing
- machine learning
- mathematics
- network protocols
- pattern recognition
- signal processing
- telecommunication networks
- telecommunication systems
- telecommunication traffic
- user interfaces
- virtual reality
- wireless telecommunication systems
Table of contents (27 chapters)
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E-learning and On-Line Apps
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Image and Graphics
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VR/AR
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Edutainment XVI
Editors: Zhigeng Pan, Adrian David Cheok, Wolfgang Müller, Mingmin Zhang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-61510-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2020
Softcover ISBN: 978-3-662-61509-6Published: 12 April 2020
eBook ISBN: 978-3-662-61510-2Published: 11 April 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 288
Number of Illustrations: 22 b/w illustrations, 142 illustrations in colour
Topics: Image Processing and Computer Vision, Computer Systems Organization and Communication Networks, Information Systems and Communication Service, Computer Appl. in Social and Behavioral Sciences, Machine Learning, Pattern Recognition