Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Rec
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Robert B. Fisher Yun-Heh Chen-Burger Daniela Giordano Lynda Hardman Fang-Pang Lin Editors
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
Intelligent Systems Reference Library Volume 104
Series editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] Lakhmi C. Jain, Bournemouth University, Fern Barrow, Poole, UK, and University of Canberra, Canberra, Australia e-mail: [email protected]
About this Series The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included.
More information about this series at http://www.springer.com/series/8578
Robert B. Fisher Yun-Heh Chen-Burger Daniela Giordano Lynda Hardman Fang-Pang Lin •
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Editors
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
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Editors Robert B. Fisher School of Informatics University of Edinburgh Edinburgh UK Yun-Heh Chen-Burger Heriot-Watt University Edinburgh UK
Lynda Hardman Centrum Wiskunde & Informatica (CWI) Amsterdam The Netherlands Fang-Pang Lin National Center of High Performance Computing Hsinchu Taiwan
Daniela Giordano Universita Degli Studi Di Catania Catania Italy
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-319-30206-5 ISBN 978-3-319-30208-9 (eBook) DOI 10.1007/978-3-319-30208-9 Library of Congress Control Number: 2016932519 © Springer International Publishing Switzerland 2016 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, express or implied, with respect to the material
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