Multimodal Analysis of User-Generated Multimedia Content
This book presents a study of semantics and sentics understanding derived from user-generated multimodal content (UGC). It enables researchers to learn about the ways multimodal analysis of UGC can augment semantics and sentics understanding and it helps
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Rajiv Shah Roger Zimmermann
Multimodal Analysis of User-Generated Multimedia Content
Socio-Affective Computing Volume 6
Series Editor Amir Hussain, University of Stirling, Stirling, UK Co-Editor Erik Cambria, Nanyang Technological University, Singapore
This exciting Book Series aims to publish state-of-the-art research on socially intelligent, affective and multimodal human-machine interaction and systems. It will emphasize the role of affect in social interactions and the humanistic side of affective computing by promoting publications at the cross-roads between engineering and human sciences (including biological, social and cultural aspects of human life). Three broad domains of social and affective computing will be covered by the book series: (1) social computing, (2) affective computing, and (3) interplay of the first two domains (for example, augmenting social interaction through affective computing). Examples of the first domain will include but not limited to: all types of social interactions that contribute to the meaning, interest and richness of our daily life, for example, information produced by a group of people used to provide or enhance the functioning of a system. Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning etc.). This series will publish works of the highest quality that advance the understanding and practical application of social and affective computing techniques. Research monographs, introductory and advanced level textbooks, volume editions and proceedings will be considered.
More information about this series at http://www.springer.com/series/13199
Rajiv Shah • Roger Zimmermann
Multimodal Analysis of User-Generated Multimedia Content
Rajiv Shah School of Computing National University of Singapore Singapore, Singapore
Roger Zimmermann School of Computing National University of Singapore Singapore, Singapore
ISSN 2509-5706 ISSN 2509-5714 (electronic) Socio-Affective Computing ISBN 978-3-319-61806-7 ISBN 978-3-319-61807-4 (eBook) DOI 10.1007/978-3-319-61807-4 Library of Congress Control Number: 2017947053 © The Editor(s) (if applicable) and The Author(s) 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulat
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