A Weighted Feature-Based Image Quality Assessment Framework in Real-Time
Nowadays, social media runs a significant portion of people’s daily lives. Millions of people use social media applications to share photos. The massive volume of images shared on social media presents serious challenges and requires large computational i
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Richard Chbeir · Yannis Manolopoulos · Hiroshi Ishikawa · Sergio Ilarri · Apostolos Papadopoulos Guest Editors
Transactions on Large-Scale Data- and KnowledgeCentered Systems XLV Abdelkader Hameurlain • A Min Tjoa Editors-in-Chief
Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/8637
Abdelkader Hameurlain A Min Tjoa Richard Chbeir Yannis Manolopoulos Hiroshi Ishikawa Sergio Ilarri Apostolos Papadopoulos (Eds.) •
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Transactions on Large-Scale Data- and KnowledgeCentered Systems XLV Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems
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Editors-in-Chief Abdelkader Hameurlain IRIT, Paul Sabatier University Toulouse, France
A Min Tjoa Vienna University of Technology Vienna, Austria
Guest Editors Richard Chbeir University of Pau and Pays de l’Adour Anglet, France
Yannis Manolopoulos Open University of Cyprus Nicosia, Cyprus
Hiroshi Ishikawa Tokyo Metropolitan University Tokyo, Japan
Sergio Ilarri University of Zaragoza Zaragoza, Spain
Apostolos Papadopoulos Aristotle University of Thessaloniki Thessaloniki, Greece
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISSN 1869-1994 ISSN 2510-4942 (electronic) Transactions on Large-Scale Data- and Knowledge-Centered Systems ISBN 978-3-662-62307-7 ISBN 978-3-662-62308-4 (eBook) https://doi.org/10.1007/978-3-662-62308-4 © Springer-Verlag GmbH Germany, part of Springer Nature 2020 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 regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions tha
