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Book
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
Authors: --- --- --- ---
ISBN: 331930206X 3319302086 Year: 2016 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

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.

Keywords

Computer Science --- Engineering & Applied Sciences --- Coral reef fishes --- Coral reef ecology --- Analysis. --- Coral reefs and islands --- Coral fishes --- Ecology --- Engineering. --- Artificial intelligence. --- Wildlife. --- Fish. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Fish & Wildlife Biology & Management. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Fish --- Pisces --- Aquatic animals --- Vertebrates --- Fisheries --- Fishing --- Ichthyology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Reef ecology --- Coral reef animals --- Reef fishes --- Computer vision. --- Wildlife management. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Animal populations --- Game management --- Management, Game --- Management, Wildlife --- Plant populations --- Wildlife resources --- Natural resources --- Wildlife conservation --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Management --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment


Digital
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
Authors: --- --- --- ---
ISBN: 9783319302089 Year: 2016 Publisher: Cham Springer International Publishing

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Export citation

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Bookmark

Abstract

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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