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Fish4knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data - Couverture rigide

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9783319302065: Fish4knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
Couverture rigide
ISBN 10 : 331930206X ISBN 13 : 9783319302065
Editeur : Springer International Publishing AG, 2016

Synopsis

This bookgives a start-to-finish overview of the whole Fish4Knowledge project, in 18short chapters, each describing one aspect of the project. The Fish4Knowledgeproject explored the possibilities of big video data, in this case fromundersea video. Recording and analyzing 90 thousand hours of video from tencamera locations, the project gives a 3 year view of fish abundance in severaltropical coral reefs off the coast of Taiwan. The research system built aremote recording network, over 100 Tb of storage, supercomputer processing,video target detection and tracking, fish species recognition and analysis, alarge SQL database to record the results and an efficient retrieval mechanism.Novel user interface mechanisms were developed to provide easy access formarine ecologists, who wanted to explore the dataset. The book is a usefulresource for system builders, as it gives an overview of the many new methodsthat were created to build the Fish4Knowledge system in a manner that alsoallows readers to see how all the components fit together.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

This bookgives a start-to-finish overview of the whole Fish4Knowledge project, in 18short chapters, each describing one aspect of the project. The Fish4Knowledgeproject explored the possibilities of big video data, in this case fromundersea video. Recording and analyzing 90 thousand hours of video from tencamera locations, the project gives a 3 year view of fish abundance in severaltropical coral reefs off the coast of Taiwan. The research system built aremote recording network, over 100 Tb of storage, supercomputer processing,video target detection and tracking, fish species recognition and analysis, alarge SQL database to record the results and an efficient retrieval mechanism.Novel user interface mechanisms were developed to provide easy access formarine ecologists, who wanted to explore the dataset. The book is a usefulresource for system builders, as it gives an overview of the many new methodsthat were created to build the Fish4Knowledge system in a manner that alsoallows readers to see how all the components fit together.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer International Publishing AG
Date d'édition
2016
Langue
anglais
ISBN 10 
331930206X
ISBN 13 
9783319302065
Reliure
Relié
Numéro d'édition
1
Nombre de pages
319
Éditeur
Fisher Robert B., Chen-Burger Yun-Heh, Giordano Daniela, Hardman Lynda, Lin Fang-pang
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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