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Record Nr. |
UNINA9910796907303321 |
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Autore |
Mellody Maureen |
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Titolo |
Robust methods for the analysis of images and videos for fisheries stock assessment : summary of a workshop / / National Research Council of the National Academies ; Maureen Mellody, rapporteur |
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Pubbl/distr/stampa |
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Washington, District of Columbia : , : The National Academies Press, , 2014 |
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©2014 |
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ISBN |
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0-309-31472-0 |
0-309-31470-4 |
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Descrizione fisica |
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1 online resource (88 p.) |
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Disciplina |
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Soggetti |
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Fish stock assessment |
United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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""FrontMatter""; ""Acknowledgment of Reviewers""; ""Contents""; ""1 Introduction""; ""2 Setting the Stage""; ""3 Multi-Modal Sensing""; ""4 Image Processing and Detection""; ""5 Multi-Object Tracking""; ""6 Shape and Motion Analysis""; ""7 Identification and Classification""; ""8 Strategies Going Forward""; ""References""; ""Appendixes""; ""Appendix A: Registered Workshop Participants""; ""Appendix B: Workshop Agenda""; ""Appendix C: Acronyms"" |
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Sommario/riassunto |
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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 |
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