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Intelligent Technologies for Interactive Entertainment

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Cover of 'Intelligent Technologies for Interactive Entertainment'

Table of Contents

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    Book Overview
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    Chapter 1 Syntropic Counterpoints: Philosophical Content Generated Between Two Artificial Intelligence Clones
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    Chapter 2 A Brief Overview on the Evolution of Drawing Machines
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    Chapter 3 Compression-Based Classification of ECG Using First-Order Derivatives
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    Chapter 4 Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining
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    Chapter 5 A Many-Valued Empirical Machine for Thyroid Dysfunction Assessment
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    Chapter 6 Detecting Automatic Patterns of Stroke Through Text Mining
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    Chapter 7 A Preliminary Evaluation of a Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Movement Analysis
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    Chapter 8 Virtual Agents for Professional Social Skills Training: An Overview of the State-of-the-Art
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    Chapter 9 A Machine Learning Approach to Detect Violent Behaviour from Video
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    Chapter 10 Detection and Prevention of Bullying on Online Social Networks: The Combination of Textual, Visual and Cognitive
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    Chapter 11 Exploring Novel Methodology for Classifying Cognitive Workload
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    Chapter 12 Scene Reconstruction for Storytelling in 360 $$^\circ $$ Videos
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    Chapter 13 User Behaviour Analysis and Personalized TV Content Recommendation
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    Chapter 14 Virtual and Augmented Reality Interfaces in Shared Game Environments: A Novel Approach
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    Chapter 15 Microbial Integration on Player Experience of Hybrid Bio-digital Games
Attention for Chapter 12: Scene Reconstruction for Storytelling in 360 $$^\circ $$ Videos
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Chapter title
Scene Reconstruction for Storytelling in 360 $$^\circ $$ Videos
Chapter number 12
Book title
Intelligent Technologies for Interactive Entertainment
Published by
Springer, Cham, November 2018
DOI 10.1007/978-3-030-16447-8_12
Book ISBNs
978-3-03-016446-1, 978-3-03-016447-8
Authors

Gonçalo Pinheiro, Nelson Alves, Luis Magalhães, Luís Agrellos, Miguel Guevara, Pinheiro, Gonçalo, Alves, Nelson, Magalhães, Luís Gonzaga Mendes, Agrellos, Luís, Guevara, Miguel, Magalhães, Luis

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Other 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Computer Science 1 33%