© 2018

Multimedia Tools and Applications for Environmental & Biodiversity Informatics

  • Alexis Joly
  • Stefanos Vrochidis
  • Kostas Karatzas
  • Ari Karppinen
  • Pierre Bonnet

Part of the Multimedia Systems and Applications book series (MMSA)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Alexis Joly, Pierre Bonnet, Stefanos Vrochidis, Kostas Karatzas, Ari Karppinen
    Pages 1-7
  3. Soledad Luna, Margaret Gold, Alexandra Albert, Luigi Ceccaroni, Bernat Claramunt, Olha Danylo et al.
    Pages 9-30
  4. Hai-Ying Liu, Mike Kobernus, Mirjam Fredriksen, Yaela Golumbic, Johanna Robinson
    Pages 31-51
  5. Hill Hiroki Kobayashi, Hiromi Kudo, Hervé Glotin, Vincent Roger, Marion Poupard, Daisuké Shimotoku et al.
    Pages 53-66
  6. Eleftherios Spyromitros-Xioufis, Anastasia Moumtzidou, Symeon Papadopoulos, Stefanos Vrochidis, Yiannis Kompatsiaris, Aristeidis K. Georgoulias et al.
    Pages 67-92
  7. Thomas Vattakaven, Prabhakar Rajagopal, Balasubramanian Dhandapani, Pierre Grard, Thomas Le Bourgeois
    Pages 93-112
  8. Vincent Roger, Marius Bartcus, Faicel Chamroukhi, Hervé Glotin
    Pages 113-130
  9. Pierre Bonnet, Hervé Goëau, Siang Thye Hang, Mario Lasseck, Milan Šulc, Valéry Malécot et al.
    Pages 131-149
  10. Jose Carranza-Rojas, Alexis Joly, Hervé Goëau, Erick Mata-Montero, Pierre Bonnet
    Pages 151-167
  11. Christophe Botella, Alexis Joly, Pierre Bonnet, Pascal Monestiez, François Munoz
    Pages 169-199
  12. Back Matter
    Pages 201-221

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.


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

Editors and affiliations

  • Alexis Joly
    • 1
  • Stefanos Vrochidis
    • 2
  • Kostas Karatzas
    • 3
  • Ari Karppinen
    • 4
  • Pierre Bonnet
    • 5
  1. 1.Inria ZENITH TeamMontpellierFrance
  2. 2.Centre for Research & TechnologyHellas – Information Technologies InstituteThessalonikiGreece
  3. 3.Aristotle University of ThessalonikiThessalonikiGreece
  4. 4.FMI/Atmospheric CompositionFinnish Meteorological InstituteHelsinkiFinland
  5. 5.CIRAD, UMR AMAPMontpellierFrance

Bibliographic information

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