@article{754375,
      recid = {754375},
      author = {Fisher, R. B., and Chen-Burger, Yun-Heh, and Giordano,  Daniela, and Hardman, Lynda, and Lin, Fang-Pang,},
      title = {Fish4Knowledge collecting and analyzing massive coral reef  fish video data / [electronic resource] :},
      pages = {1 online resource :},
      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.},
      url = {http://library.usi.edu/record/754375},
      doi = {https://doi.org/10.1007/978-3-319-30208-9},
}