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.
Overviewof the Fish4Knowledge Project.- User InformationNeeds.- Supercomputing Resources.- Marine Video Data Capture andStorage.- Logical Data Resource Storage.- Software Architecture with Flexibilityfor the Data-Intensive Fish4Knowledge Project.- Fish4Knowledge Database Structure,Creating and Sharing Scientific Data).- Intelligent Workflow Managementfor Fish4Knowledge using the SWELL System.- Fish Detection.- FishTracking.- Hierarchical Classification System with Reject Option for LiveFish Recognition.- Fish Behavior Analysis.- UnderstandingUncertainty Issues in the Exploration of Fish Counts.- Data Groundtruthingand Crowdsourcing.- Counting on Uncertainty: Obtaining Fish Counts from Machine LearningDecisions.- Experiments with the Full Fish4Knowledge Dataset.- TheFish4Knowledge Virtual World Gallery.- Conclusions.
