Description Logics in Multimedia Reasoning
This book illustrates how to use description logic-based formalisms to their full potential in the creation, indexing, and reuse of multimedia semantics. To do so, it introduces researchers to multimedia semantics by providing an in-depth review of state-
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Description Logics in Multimedia Reasoning
Description Logics in Multimedia Reasoning
Leslie F. Sikos
Description Logics in Multimedia Reasoning
Leslie F. Sikos Centre for Knowledge & Interaction Technologies Flinders University Adelaide Australia
ISBN 978-3-319-54065-8 ISBN 978-3-319-54066-5 DOI 10.1007/978-3-319-54066-5
(eBook)
Library of Congress Control Number: 2017934914 © Springer International Publishing AG 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 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 contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The immense and constantly growing number of videos urges efficient automated processing mechanisms for multimedia contents, which is a real challenge due to the huge semantic gap between what computers can automatically interpret from audio and video signals and what humans can comprehend based on cognition, knowledge, and experience. Low-level features, which correspond to local and global characteristics of audio and video signals, and low-level feature aggregates and statistics, such as various histograms based on low-level features, can be represented by low-level feature descriptors. These automatically extractable descriptors, such as dominant color and motion trajectory, are suitable for a limited range of applications only (e.g., machine learning-based classification) and are not connected directly to sophisticated human-interpretable concepts, such as concepts depicted in a video, which can be described using high-level descriptors only. To narrow the semantic gap, feature extraction and analysis can be complemented by machine-interpretable background knowledge formalized with description logics (DL) and implemented in ontology languages, in particular
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