Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9292)
Part of the book sub series: Transactions on Edutainment (TEDUTAIN)
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Table of contents (17 chapters)
Keywords
- data mining
- educational game
- human computer interaction
- social context
- visualization
- anomaly detection
- ant colony optimization
- edge detection
- event ontology
- feature extraction
- image processing
- interactive 3D
- knowledge
- mass media
- optimization method
- plant modeling
- recognition of actions
- smart phone
- SVM
- watermarking
About this book
This journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of edutainment, such as game-based learning and serious games, interactive storytelling, virtual learning environments, VR-based education, and related fields. It covers aspects from educational and game theories, human-computer interaction, computer graphics, artificial intelligence, and systems design.
The 17 papers presented in the 12th issue were organized in four parts dealing with: games; human-computer interaction; image and graphics; and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Edutainment XII
Editors: Zhigeng Pan, Adrian David Cheok, Wolfgang Müller, Mingmin Zhang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-50544-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2016
Softcover ISBN: 978-3-662-50543-4Published: 20 May 2016
eBook ISBN: 978-3-662-50544-1Published: 10 May 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 209
Number of Illustrations: 120 b/w illustrations
Topics: Computers and Education, User Interfaces and Human Computer Interaction, Image Processing and Computer Vision, Pattern Recognition, Data Mining and Knowledge Discovery, Algorithm Analysis and Problem Complexity