© 2016

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

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


  • 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


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

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Robert B. Fisher, Kwang-Tsao Shao, Yun-Heh Chen-Burger
    Pages 1-17
  3. Emma Beauxis-Aussalet, Lynda Hardman
    Pages 19-30
  4. Jih-Sheng Chang, Sun-In Lin, Fang-Pang Lin, Hsiu-Mei Chou
    Pages 31-39
  5. Sun-In Lin, Fang-Pang Lin, Hsiu-Mei Chou
    Pages 41-50
  6. Hsiu-Mei Chou
    Pages 51-57
  7. Gayathri Nadarajan, Cheng-Lin Yang, Yun-Heh Chen-Burger
    Pages 83-101
  8. Daniela Giordano, Simone Palazzo, Concetto Spampinato
    Pages 103-122
  9. Daniela Giordano, Simone Palazzo, Concetto Spampinato
    Pages 123-139
  10. Cigdem Beyan
    Pages 161-179
  11. Emma Beauxis-Aussalet, Lynda Hardman
    Pages 181-205
  12. Jiyin He, Concetto Spampinato, Bastiaan J. Boom, Isaak Kavasidis
    Pages 207-227
  13. Robert B. Fisher
    Pages 239-259
  14. Yun-Heh Chen-Burger, Austin Tate
    Pages 261-267
  15. 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.


Big Data F4K Fish4Knowledge Image Analysis Intelligent Systems Marine Biology System Architecture

Editors and affiliations

  • Robert B. Fisher
    • 1
  • Yun-Heh Chen-Burger
    • 2
  • Daniela Giordano
    • 3
  • Lynda Hardman
    • 4
  • Fang-Pang Lin
    • 5
  1. 1.School of InformaticsUniversity of EdinburghEdinburghUnited Kingdom
  2. 2.Heriot-Watt UniversityEdinburghUnited Kingdom
  3. 3.Universita Degli Studi Di CataniaCataniaItaly
  4. 4.Informatica (CWI)Centrum Wiskunde &AmsterdamThe Netherlands
  5. 5.High Performance ComputingNational Center ofHsinChuTaiwan

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