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000754375 020__ $$a9783319302089$$q(electronic book)
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000754375 0247_ $$a10.1007/978-3-319-30208-9$$2doi
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000754375 24500 $$aFish4Knowledge$$h[electronic resource] :$$bcollecting and analyzing massive coral reef fish video data /$$cRobert B. Fisher, Yun-Hen Chen-Burger, Daniela Giordano, Lynda Hardman, Fang-Pang Lin, editors.
000754375 264_1 $$aSwitzerland :$$bSpringer,$$c[2016]
000754375 264_4 $$c©2016
000754375 300__ $$a1 online resource :$$bcolor illustrations, color maps.
000754375 336__ $$atext$$btxt$$2rdacontent
000754375 337__ $$acomputer$$bc$$2rdamedia
000754375 338__ $$aonline resource$$bcr$$2rdacarrier
000754375 4901_ $$aIntelligent systems reference library ;$$vvolume 104
000754375 504__ $$aIncludes bibliographical references and index.
000754375 5050_ $$aOverview of the Fish4Knowledge Project -- User Information Needs -- Supercomputing Resources -- Marine Video Data Capture and Storage -- Logical Data Resource Storage -- Software Architecture with Flexibility for the Data-Intensive Fish4Knowledge Project -- Fish4Knowledge Database Structure, Creating and Sharing Scientific Data) -- Intelligent Workflow Management for Fish4Knowledge using the SWELL System -- Fish Detection -- Fish Tracking -- Hierarchical Classification System with Reject Option for Live Fish Recognition -- Fish Behavior Analysis -- Understanding Uncertainty Issues in the Exploration of Fish Counts -- Data Groundtruthing and Crowdsourcing -- Counting on Uncertainty: Obtaining Fish Counts from Machine Learning Decisions -- Experiments with the Full Fish4Knowledge Dataset -- The Fish4Knowledge Virtual World Gallery -- Conclusions.
000754375 506__ $$aAccess limited to authorized users.
000754375 520__ $$aThis book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.
000754375 588__ $$aOnline resource; title from PDF title page (viewed March 30, 2016).
000754375 650_0 $$aCoral reef fishes$$xAnalysis.
000754375 650_0 $$aCoral reef ecology$$xAnalysis.
000754375 7001_ $$aFisher, R. B.,$$eeditor.
000754375 7001_ $$aChen-Burger, Yun-Heh,$$eeditor.
000754375 7001_ $$aGiordano, Daniela,$$eeditor.
000754375 7001_ $$aHardman, Lynda,$$eeditor.
000754375 7001_ $$aLin, Fang-Pang,$$eeditor.
000754375 77608 $$iPrint version:$$z9783319302065
000754375 830_0 $$aIntelligent systems reference library ;$$vv. 104.
000754375 852__ $$bebk
000754375 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-30208-9$$zOnline Access$$91397441.1
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000754375 980__ $$aBIB
000754375 982__ $$aEbook
000754375 983__ $$aOnline
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