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  • © 2016

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

  • Provides a rare opportunity to gain an overview of relevant, supportive, inter-disciplinary and innovative research and technical works on Big Data in Marine Biology in one place

  • This book is also a useful reference book for researchers and practitioners who are interested in handling big data that may be gathered from the Web or the natural world

  • Includes various software components which are provided under open-source licenses that interested readers can potentially re-use for their own purposes

  • The user interface developed will also be available, enabling readers to investigate their own marine biology questions

  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 104)

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-30208-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 159.99
Price excludes VAT (USA)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xvii
  2. Overview of the Fish4Knowledge Project

    • Robert B. Fisher, Kwang-Tsao Shao, Yun-Heh Chen-Burger
    Pages 1-17
  3. User Information Needs

    • Emma Beauxis-Aussalet, Lynda Hardman
    Pages 19-30
  4. Supercomputing Resources

    • Jih-Sheng Chang, Sun-In Lin, Fang-Pang Lin, Hsiu-Mei Chou
    Pages 31-39
  5. Marine Video Data Capture and Storage

    • Sun-In Lin, Fang-Pang Lin, Hsiu-Mei Chou
    Pages 41-50
  6. Logical Data Resource Storage

    • Hsiu-Mei Chou
    Pages 51-57
  7. Intelligent Workflow Management for Fish4Knowledge Using the SWELL System

    • Gayathri Nadarajan, Cheng-Lin Yang, Yun-Heh Chen-Burger
    Pages 83-101
  8. Fish Detection

    • Daniela Giordano, Simone Palazzo, Concetto Spampinato
    Pages 103-122
  9. Fish Tracking

    • Daniela Giordano, Simone Palazzo, Concetto Spampinato
    Pages 123-139
  10. Fish Behavior Analysis

    • Cigdem Beyan
    Pages 161-179
  11. Understanding Uncertainty Issues in the Exploration of Fish Counts

    • Emma Beauxis-Aussalet, Lynda Hardman
    Pages 181-205
  12. Data Groundtruthing and Crowdsourcing

    • Jiyin He, Concetto Spampinato, Bastiaan J. Boom, Isaak Kavasidis
    Pages 207-227
  13. Experiments with the Full Fish4Knowledge Dataset

    • Robert B. Fisher
    Pages 239-259
  14. The Fish4Knowledge Virtual World Gallery

    • Yun-Heh Chen-Burger, Austin Tate
    Pages 261-267
  15. Conclusions

    • Robert B. Fisher
    Pages 269-281
  16. Back Matter

    Pages 283-319

About this book

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. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Keywords

  • Big Data
  • F4K
  • Fish4Knowledge
  • Image Analysis
  • Intelligent Systems
  • Marine Biology
  • System Architecture
  • Fish and Wildlife Biology

Editors and Affiliations

  • School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

    Robert B. Fisher

  • Heriot-Watt University, Edinburgh, United Kingdom

    Yun-Heh Chen-Burger

  • Universita Degli Studi Di Catania, Catania, Italy

    Daniela Giordano

  • Informatica (CWI), Centrum Wiskunde &, Amsterdam, The Netherlands

    Lynda Hardman

  • High Performance Computing, National Center of, HsinChu, Taiwan

    Fang-Pang Lin

Bibliographic Information

  • Book Title: Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

  • Editors: Robert B. Fisher, Yun-Heh Chen-Burger, Daniela Giordano, Lynda Hardman, Fang-Pang Lin

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-30208-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2016

  • Hardcover ISBN: 978-3-319-30206-5

  • Softcover ISBN: 978-3-319-80750-8

  • eBook ISBN: 978-3-319-30208-9

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XVII, 319

  • Number of Illustrations: 122 b/w illustrations, 13 illustrations in colour

  • Topics: Computational Intelligence, Computer Vision, Animal Science, Artificial Intelligence

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-30208-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 159.99
Price excludes VAT (USA)