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Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (Intelligent Systems Reference Library, 104, Band 104) - Hardcover

Buch 77 von 188: Intelligent Systems Reference Library
 
9783319302065: Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (Intelligent Systems Reference Library, 104, Band 104)
Hardcover
ISBN 10: 331930206X ISBN 13: 9783319302065
Verlag: Springer, 2016

Inhaltsangabe

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.

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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.

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Verlag
Springer
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
331930206X
ISBN 13 
9783319302065
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
336
Herausgeber
Fisher Robert B., Chen-Burger Yun-Heh, Giordano Daniela, Hardman Lynda, Lin Fang-Pang
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