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Suggested Citation:"Appendix C: Acronyms." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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C

Acronyms

ARGUS

Autonomous Real-Time Ground Ubiquitous Surveillance

AUE

autonomous underwater explorer

AUV

autonomous underwater vehicle

 
BRUVS

Baited Remote Underwater Video Station

 
F4K

Fish4Knowledge

 
GPS

Global Positioning System

 
LLS

Laser Line Scanner

 
MA-ZOOPS

Multiple-Aspect Acoustic Zooplankton

MFOV

multiple field of view

 
NCET

Net-Centric Exploitation Tools

NMFS

National Marine Fisheries Service; informally known as “NOAA Fisheries”

NOAA

National Oceanic and Atmospheric Administration

NRC

National Research Council

 
Suggested Citation:"Appendix C: Acronyms." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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OASIS

Optical and Acoustical Submersible Imaging System

OAWRS

Ocean Acoustic Waveguide Remote Sensing

 
SVM

support vector machine

Suggested Citation:"Appendix C: Acronyms." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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Page 75
Suggested Citation:"Appendix C: Acronyms." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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The National Marine Fisheries Service (NMFS) is responsible for the stewardship of the nation's living marine resources and their habitat. As part of this charge, NMFS conducts stock assessments of the abundance and composition of fish stocks in several bodies of water. At present, stock assessments rely heavily on human data-gathering and analysis. Automatic means of fish stock assessments are appealing because they offer the potential to improve efficiency and reduce human workload and perhaps develop higher-fidelity measurements. The use of images and video, when accompanies by appropriate statistical analyses of the inferred data, is of increasing importance for estimating the abundance of species and their age distributions.

Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment is the summary of a workshop convened by the National Research Council Committee on Applied and Theoretical Statistics to discuss analysis techniques for images and videos for fisheries stock assessment. Experts from diverse communities shared perspective about the most efficient path toward improved automation of visual information and discussed both near-term and long-term goals that can be achieved through research and development efforts. This report is a record of the presentations and discussions of this event.

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