Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

1. Auflage 2016
ISBN: 978-3-319-30206-5
Verlag: Springer International Publishing

Buch, Englisch, Band 104, 319 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 6328 g

Reihe: Intelligent Systems Reference Library

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.

Zielgruppe

Research

Autoren/Hrsg.

Fisher, Robert B.

Chen-Burger, Yun-Heh

Lin, Fang-Pang

Giordano, Daniela

Hardman, Lynda

Fachgebiete

• Naturwissenschaften Biowissenschaften Tierkunde / Zoologie Wirbeltiere (Vertebrata) Fische (Ichthyologie)
• Naturwissenschaften Biowissenschaften Biowissenschaften Meeres- und Süßwasserökologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Digitales Video

Inhaltsverzeichnis

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.