National Academies Press: OpenBook
« Previous: References
Suggested Citation:"Appendixes." 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.
×
Suggested Citation:"Appendixes." 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.
×

This page intentionally left blank.

Suggested Citation:"Appendixes." 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.
×
Page 67
Suggested Citation:"Appendixes." 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.
×
Page 68
Next: Appendix A: Registered Workshop Participants »
Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop Get This Book
×
Buy Paperback | $46.00 Buy Ebook | $36.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

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.

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!