Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 104
Release date:	April 2018
First published:	2016
Editors:	Robert B. Fisher • Yun-Heh Chen-Burger • Daniel A Giordano • Lynda Hardman • Fang-Pang Lin
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	319
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-80750-8
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Vertebrates > Fishes (ichthyology) Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Vertebrates > Amphibians Promotions
LSN:	3-319-80750-1
Barcode:	9783319807508

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