Overview
- Demonstrates how multimedia research and technological innovation impact the wide range of environmental and biodiversity studies
- Provides an introduction to the leading content analysis and machine learning techniques in an easily accessible expression, based on various and concrete examples of implementations
- Illustrates the increasing capabilities of multimedia tools & applications for the characterization of living organisms
Part of the book series: Multimedia Systems and Applications (MMSA)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
- Multimedia tools
- Environmental data
- Biodiversity data
- Identification
- Crowdsourcing
- Interactive search
- Visualization
- Data validation
- Computer vision
- Bioacoustics
- Satellite data
- Botanical data
- Air quality data
- Automated Species Identification
- Citizen science
- Mobile sensors
- Deep learning
- Big data
- Species distribution modeling
- Environmental informatics
About this book
This edited volume focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth biodiversity. The data reflects the status, behavior, change as well as human interests and concerns which are increasingly crucial for understanding environmental issues and phenomena. This volume addresses the need for the development of advanced methods, techniques and tools for collecting, managing, analyzing, understanding and modeling environmental & biodiversity data, including the automated or collaborative species identification, the species distribution modeling and their environment, such as the air quality or the bio-acoustic monitoring. Researchers and practitioners in multimedia and environmental topics will find the chapters essential to their continued studies.
Editors and Affiliations
Bibliographic Information
Book Title: Multimedia Tools and Applications for Environmental & Biodiversity Informatics
Editors: Alexis Joly, Stefanos Vrochidis, Kostas Karatzas, Ari Karppinen, Pierre Bonnet
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-3-319-76445-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-76444-3Published: 09 July 2018
Softcover ISBN: 978-3-030-09492-8Published: 30 January 2019
eBook ISBN: 978-3-319-76445-0Published: 19 June 2018
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XV, 221
Number of Illustrations: 9 b/w illustrations, 65 illustrations in colour
Topics: Multimedia Information Systems, Database Management, Artificial Intelligence, Environmental Engineering/Biotechnology, Pattern Recognition