Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation

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ID: 269723
2015
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Abstract
Global climate change and other anthropogenic stressors have heightened the need to rapidly characterize ecological changes in marine benthic communities across large scales. Digital photography enables rapid collection of survey images to meet this need, but the subsequent image annotation is typic …
Reference Key
o2015plostowards Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Beijbom O;Edmunds PJ;Roelfsema C;Smith J;Kline DI;Neal BP;Dunlap MJ;Moriarty V;Fan TY;Tan CJ;Chan S;Treibitz T;Gamst A;Mitchell BG;Kriegman D;;
Journal PloS one
Year 2015
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/26154157
Keywords
image processing National Center for Biotechnology Information NCBI NLM MEDLINE animals humans pubmed abstract nih national institutes of health national library of medicine models statistical reproducibility of results research support non-u.s. gov't algorithms Comparative Study environmental monitoring / methods* computer-assisted / methods* observer variation pattern recognition climate change ecosystem pmid:26154157 pmc4496057 doi:10.1371/journal.pone.0130312 oscar beijbom peter j edmunds david kriegman anthozoa coral reefs* automated* seaweed / physiology*

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