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Titlebook: Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data; Robert B. Fisher,Yun-Heh Chen-Burger,Fang-Pang Lin Book 2016

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書目名稱Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
編輯Robert B. Fisher,Yun-Heh Chen-Burger,Fang-Pang Lin
視頻videohttp://file.papertrans.cn/344/343941/343941.mp4
概述Provides a rare opportunity to gain an overview of relevant, supportive, inter-disciplinary and innovative research and technical works on Big Data in Marine Biology in one place.This book is also a u
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data;  Robert B. Fisher,Yun-Heh Chen-Burger,Fang-Pang Lin Book 2016
描述.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..
出版日期Book 2016
關(guān)鍵詞Big Data; F4K; Fish4Knowledge; Image Analysis; Intelligent Systems; Marine Biology; System Architecture; Fi
版次1
doihttps://doi.org/10.1007/978-3-319-30208-9
isbn_softcover978-3-319-80750-8
isbn_ebook978-3-319-30208-9Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG, part of Springer Nature 2016
The information of publication is updating

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