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Chen-Burger, Yun-Heh

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

Chen-Burger, Yun-Heh - Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data, ebook

153,75€

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ISBN: 9783319302089
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Table of contents

1. Overview of the Fish4Knowledge Project
Robert B. Fisher, Kwang-Tsao Shao, Yun-Heh Chen-Burger

2. User Information Needs
Emma Beauxis-Aussalet, Lynda Hardman

3. Supercomputing Resources
Jih-Sheng Chang, Sun-In Lin, Fang-Pang Lin, Hsiu-Mei Chou

4. Marine Video Data Capture and Storage
Sun-In Lin, Fang-Pang Lin, Hsiu-Mei Chou

5. Logical Data Resource Storage
Hsiu-Mei Chou

6. Software Architecture with Flexibility for the Data-Intensive Fish4Knowledge Project
Bastiaan J. Boom

7. Fish4Knowledge Database Structure, Creating and Sharing Scientific Data
Bastiaan J. Boom

8. Intelligent Workflow Management for Fish4Knowledge Using the SWELL System
Gayathri Nadarajan, Cheng-Lin Yang, Yun-Heh Chen-Burger

9. Fish Detection
Daniela Giordano, Simone Palazzo, Concetto Spampinato

10. Fish Tracking
Daniela Giordano, Simone Palazzo, Concetto Spampinato

11. Hierarchical Classification System with Reject Option for Live Fish Recognition
Phoenix X. Huang

12. Fish Behavior Analysis
Cigdem Beyan

13. Understanding Uncertainty Issues in the Exploration of Fish Counts
Emma Beauxis-Aussalet, Lynda Hardman

14. Data Groundtruthing and Crowdsourcing
Jiyin He, Concetto Spampinato, Bastiaan J. Boom, Isaak Kavasidis

15. Counting on Uncertainty: Obtaining Fish Counts from Machine Learning Decisions
Bastiaan J. Boom

16. Experiments with the Full Fish4Knowledge Dataset
Robert B. Fisher

17. The Fish4Knowledge Virtual World Gallery
Yun-Heh Chen-Burger, Austin Tate

18. Conclusions
Robert B. Fisher

Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Fish & Wildlife Biology & Management

Editor
 
 
 
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1st ed. 2016
Series
Intelligent Systems Reference Library
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783319302089
Printed ISBN
978-3-319-30206-5

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