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Suggested Citation:"Front Matter." 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.
×

ROBUST METHODS FOR THE ANALYSIS OF

Images and Videos For
Fisheries Stock Assessment

_____________

SUMMARY OF A WORKSHOP

Maureen Mellody, Rapporteur

Committee on Applied and Theoretical Statistics

Board on Mathematical Sciences and Their Applications

Division on Engineering and Physical Sciences

NATIONAL RESEARCH COUNCIL
                   OF THE NATIONAL ACADEMIES

THE NATIONAL ACADEMIES PRESS

Washington, D.C.

www.nap.edu

Suggested Citation:"Front Matter." 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.
×

THE NATIONAL ACADEMIES PRESS    500 Fifth Street, NW    Washington, DC 20001

NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engineering, and the Institute of Medicine.

This study was supported by Contract No. WC 133R-11-CQ-0048 TO #6 between the National Academy of Sciences and the National Oceanic and Atmospheric Administration. Any opinions, findings, or conclusions expressed in this publication are those of the author(s) and do not necessarily reflect the views of the organizations or agencies that provided support for the project.

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International Standard Book Number-10: 0-309-31469-0

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Suggested Citation:"Front Matter." 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.
×

THE NATIONAL ACADEMIES

Advisers to the Nation on Science, Engineering, and Medicine

The National Academy of Sciences is a private, nonprofit, self-perpetuating society of distinguished scholars engaged in scientific and engineering research, dedicated to the furtherance of science and technology and to their use for the general welfare. Upon the authority of the charter granted to it by the Congress in 1863, the Academy has a mandate that requires it to advise the federal government on scientific and technical matters. Dr. Ralph J. Cicerone is president of the National Academy of Sciences.

The National Academy of Engineering was established in 1964, under the charter of the National Academy of Sciences, as a parallel organization of outstanding engineers. It is autonomous in its administration and in the selection of its members, sharing with the National Academy of Sciences the responsibility for advising the federal government. The National Academy of Engineering also sponsors engineering programs aimed at meeting national needs, encourages education and research, and recognizes the superior achievements of engineers. Dr. C. D. Mote, Jr., is president of the National Academy of Engineering.

The Institute of Medicine was established in 1970 by the National Academy of Sciences to secure the services of eminent members of appropriate professions in the examination of policy matters pertaining to the health of the public. The Institute acts under the responsibility given to the National Academy of Sciences by its congressional charter to be an adviser to the federal government and, upon its own initiative, to identify issues of medical care, research, and education. Dr. Victor J. Dzau is president of the Institute of Medicine.

The National Research Council was organized by the National Academy of Sciences in 1916 to associate the broad community of science and technology with the Academy’s purposes of furthering knowledge and advising the federal government. Functioning in accordance with general policies determined by the Academy, the Council has become the principal operating agency of both the National Academy of Sciences and the National Academy of Engineering in providing services to the government, the public, and the scientific and engineering communities. The Council is administered jointly by both Academies and the Institute of Medicine. Dr. Ralph J. Cicerone and Dr. C. D. Mote, Jr., are chair and vice chair, respectively, of the National Research Council.

www.national-academies.org

Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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.
×

PLANNING COMMITTEE ON ROBUST METHODS
FOR THE ANALYSIS OF IMAGES AND VIDEOS FOR
FISHERIES STOCK ASSESSMENT: A WORKSHOP

RAMA CHELLAPPA, University of Maryland, College Park, Chair

RUZENA BAJCSY, University of California, Berkeley

LISE GETOOR, University of California, Santa Cruz

ALFRED HERO III, University of Michigan

ANTHONY HOOGS, Kitware, Inc.

DAVID KRIEGMAN, University of California, San Diego

RICHARD LEAHY, University of Southern California

FEI-FEI LI, Stanford University

GUILLERMO SAPIRO, Duke University

LANCE WALLER, Emory University

Staff

MICHELLE K. SCHWALBE, Program Officer

RODNEY N. HOWARD, Administrative Assistant

 

Suggested Citation:"Front Matter." 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.
×

COMMITTEE ON APPLIED AND THEORETICAL STATISTICS

CONSTANTINE GATSONIS, Brown University, Chair

MONTSERRAT (MONTSE) FUENTES, North Carolina State University

ALFRED O. HERO III, University of Michigan

DAVID M. HIGDON, Los Alamos National Laboratory

IAIN JOHNSTONE, Stanford University

ROBERT E. KASS, Carnegie Mellon University

JOHN LAFFERTY, University of Chicago

XIHONG LIN, Harvard University

SHARON-LISE T. NORMAND, Harvard University

GIOVANNI PARMIGIANI, Harvard University

RAGHU RAMAKRISHNAN, Microsoft

ERNEST SEGLIE, Office of the Secretary of Defense (retired)

LANCE WALLER, Emory University

EUGENE WONG, University of California, Berkeley

Staff

MICHELLE K. SCHWALBE, Director

RODNEY N. HOWARD, Administrative Assistant

 

Suggested Citation:"Front Matter." 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.
×

BOARD ON MATHEMATICAL SCIENCES AND THEIR APPLICATIONS

DONALD SAARI, University of California, Irvine, Chair

DOUGLAS N. ARNOLD, University of Minnesota

GERALD G. BROWN, Naval Postgraduate School

L. ANTHONY COX, JR., Cox Associates, Inc.

CONSTANTINE GATSONIS, Brown University

MARK L. GREEN, University of California, Los Angeles

DARRYLL HENDRICKS, UBS Investment Bank

BRYNA KRA, Northwestern University

ANDREW W. LO, Massachusetts Institute of Technology

DAVID MAIER, Portland State University

WILLIAM A. MASSEY, Princeton University

JUAN C. MESA, University of California, Merced

JOHN W. MORGAN, State University of New York, Stony Brook

CLAUDIA NEUHAUSER, University of Minnesota

FRED S. ROBERTS, Rutgers University

CARL P. SIMON, University of Michigan

KATEPALLI SREENIVASAN, New York University

EVA TARDOS, Cornell University

Staff

SCOTT T. WEIDMAN, Board Director

NEAL GLASSMAN, Senior Program Officer

MICHELLE K. SCHWALBE, Program Officer

RODNEY N. HOWARD, Administrative Assistant

BETH DOLAN, Financial Associate

Page viii Cite
Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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.
×

Acknowledgment of Reviewers

This report has been reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise, in accordance with procedures approved by the National Research Council’s Report Review Committee. The purpose of this independent review is to provide candid and critical comments that will assist the institution in making its published report as sound as possible and to ensure that the report meets institutional standards for objectivity, evidence, and responsiveness to the study charge. The review comments and draft manuscript remain confidential to protect the integrity of the deliberative process. We wish to thank the following individuals for their review of this report:

Margrit Betke, Boston University,

Jitendra Malik, University of California, Berkeley,

Pietro Perona, California Institute of Technology, and

Hanumant Singh, Woods Hole Oceanographic Institution.

Although the reviewers listed above have provided many constructive comments and suggestions, they were not asked to endorse the views presented at the workshop, nor did they see the final draft of the workshop summary before its release. The review of this workshop summary was overseen by Andrew Solow, Woods Hole Oceanographic Institution. Appointed by the NRC, he was responsible for making certain that an independent examination of this workshop summary was carried out in accordance with institutional procedures and that all review comments were carefully considered. Responsibility for the final content of this summary rests entirely with the author and the institution.

Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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 viii Cite
Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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Suggested Citation:"Front Matter." 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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