Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

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 vid...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Fisher, Robert B. (Editor ), Chen-Burger, Yun-Heh (Editor ), Giordano, Daniela (Editor ), Hardman, Lynda (Editor ), Lin, Fang-Pang (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Intelligent Systems Reference Library, 104
Temas:
Computational intelligence.
Computer vision.
Animal culture.
Artificial intelligence.
Computational Intelligence.
Computer Vision.
Animal Science.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview 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.

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