Fish4Knowledge [electronic resource] : collecting and analyzing massive coral reef fish video data / Robert B. Fisher, Yun-Hen Chen-Burger, Daniela Giordano, Lynda Hardman, Fang-Pang Lin, editors.
Fisher, R. B., editor.; Chen-Burger, Yun-Heh, editor.; Giordano, Daniela, editor.; Hardman, Lynda, editor.; Lin, Fang-Pang, editor.
2016
QL125
Available Online

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Title Fish4Knowledge [electronic resource] : collecting and analyzing massive coral reef fish video data / Robert B. Fisher, Yun-Hen Chen-Burger, Daniela Giordano, Lynda Hardman, Fang-Pang Lin, editors.
ISBN 9783319302089 (electronic book)
3319302086 (electronic book)
9783319302065
DOI https://doi.org/10.1007/978-3-319-30208-9
Published Switzerland : Springer, [2016]
Copyright ©2016
Language English
Description 1 online resource : color illustrations, color maps.
Item Number 10.1007/978-3-319-30208-9 doi
Call Number QL125
Dewey Decimal Classification 591.77/89
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (viewed March 30, 2016).
Added Author Fisher, R. B., editor.
Chen-Burger, Yun-Heh, editor.
Giordano, Daniela, editor.
Hardman, Lynda, editor.
Lin, Fang-Pang, editor.
Series Intelligent systems reference library ; v. 104.
Available in Other Form Print version: 9783319302065
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Overview of the Fish4Knowledge Project
User Information Needs
Supercomputing Resources
Marine Video Data Capture and Storage
Logical Data Resource Storage
Software Architecture with Flexibility for the Data-Intensive Fish4Knowledge Project
Fish4Knowledge Database Structure, Creating and Sharing Scientific Data)
Intelligent Workflow Management for Fish4Knowledge using the SWELL System
Fish Detection
Fish Tracking
Hierarchical Classification System with Reject Option for Live Fish Recognition
Fish Behavior Analysis
Understanding Uncertainty Issues in the Exploration of Fish Counts
Data Groundtruthing and Crowdsourcing
Counting on Uncertainty: Obtaining Fish Counts from Machine Learning Decisions
Experiments with the Full Fish4Knowledge Dataset
The Fish4Knowledge Virtual World Gallery
Conclusions.

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