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Fish4Knowledge: collecting and analyzing massive coral reef fish video data

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 vid...

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Detalles Bibliográficos
Autores principales: Fisher, Robert, Chen-Burger, Yun-Heh, Giordano, Daniela, Hardman, Lynda, Lin, Fang-Pang
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-30208-9
http://cds.cern.ch/record/2143514
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author Fisher, Robert
Chen-Burger, Yun-Heh
Giordano, Daniela
Hardman, Lynda
Lin, Fang-Pang
author_facet Fisher, Robert
Chen-Burger, Yun-Heh
Giordano, Daniela
Hardman, Lynda
Lin, Fang-Pang
author_sort Fisher, Robert
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
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publishDate 2016
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spelling cern-21435142021-04-21T19:45:07Zdoi:10.1007/978-3-319-30208-9http://cds.cern.ch/record/2143514engFisher, RobertChen-Burger, Yun-HehGiordano, DanielaHardman, LyndaLin, Fang-PangFish4Knowledge: collecting and analyzing massive coral reef fish video dataEngineeringThis 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.Springeroai:cds.cern.ch:21435142016
spellingShingle Engineering
Fisher, Robert
Chen-Burger, Yun-Heh
Giordano, Daniela
Hardman, Lynda
Lin, Fang-Pang
Fish4Knowledge: collecting and analyzing massive coral reef fish video data
title Fish4Knowledge: collecting and analyzing massive coral reef fish video data
title_full Fish4Knowledge: collecting and analyzing massive coral reef fish video data
title_fullStr Fish4Knowledge: collecting and analyzing massive coral reef fish video data
title_full_unstemmed Fish4Knowledge: collecting and analyzing massive coral reef fish video data
title_short Fish4Knowledge: collecting and analyzing massive coral reef fish video data
title_sort fish4knowledge: collecting and analyzing massive coral reef fish video data
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-30208-9
http://cds.cern.ch/record/2143514
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