RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS

Marine imaging is transforming into a sensor technology applied for high throughput sampling. In the context of habitat mapping, imaging establishes thereby an important bridge technology regarding the spatial resolution and information content between physical sampling gear (e.g. box corer, multi c...

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Main Authors: Timm eSchoening, Jonas eOsterloff, Tim Wilhelm Nattkemper
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-04-01
Series:Frontiers in Marine Science
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmars.2016.00059/full
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spelling doaj-e2c85f055be84c8ca1591f074f2b96662020-11-25T01:57:11ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452016-04-01310.3389/fmars.2016.00059191430RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONSTimm eSchoening0Jonas eOsterloff1Tim Wilhelm Nattkemper2GEOMAR Helmholtz Centre for Ocean ResearchBielefeld UniversityBielefeld UniversityMarine imaging is transforming into a sensor technology applied for high throughput sampling. In the context of habitat mapping, imaging establishes thereby an important bridge technology regarding the spatial resolution and information content between physical sampling gear (e.g. box corer, multi corer) on the one end and hydro-acoustic sensors on the other end of the spectrum of sampling methods. In contrast to other scientific imaging domains, such as digital pathology, there are no protocols and reports available that guide users (often referred to as observers) in the non-trivial process of assigning semantic categories to whole images, regions or objects of interest, which is referred to as annotation. These protocols are crucial to facilitate image analysis as a robust scientific method.In this article we will review the past observations in manual Marine Image Annotations (MIA) and provide a) a guideline for collecting manual annotations, b) definitions for annotation quality and c) a statistical framework to analyze the performance of human expert annotations and to compare those to computational approaches.http://journal.frontiersin.org/Journal/10.3389/fmars.2016.00059/fullEnvironmental Monitoringimage annotationenvironmental scienceshabitat mappingUnderwater image analysisMarine Imaging
collection DOAJ
language English
format Article
sources DOAJ
author Timm eSchoening
Jonas eOsterloff
Tim Wilhelm Nattkemper
spellingShingle Timm eSchoening
Jonas eOsterloff
Tim Wilhelm Nattkemper
RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS
Frontiers in Marine Science
Environmental Monitoring
image annotation
environmental sciences
habitat mapping
Underwater image analysis
Marine Imaging
author_facet Timm eSchoening
Jonas eOsterloff
Tim Wilhelm Nattkemper
author_sort Timm eSchoening
title RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS
title_short RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS
title_full RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS
title_fullStr RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS
title_full_unstemmed RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS
title_sort recomia - recommendations for marine image annotation: lessons learned and future directions
publisher Frontiers Media S.A.
series Frontiers in Marine Science
issn 2296-7745
publishDate 2016-04-01
description Marine imaging is transforming into a sensor technology applied for high throughput sampling. In the context of habitat mapping, imaging establishes thereby an important bridge technology regarding the spatial resolution and information content between physical sampling gear (e.g. box corer, multi corer) on the one end and hydro-acoustic sensors on the other end of the spectrum of sampling methods. In contrast to other scientific imaging domains, such as digital pathology, there are no protocols and reports available that guide users (often referred to as observers) in the non-trivial process of assigning semantic categories to whole images, regions or objects of interest, which is referred to as annotation. These protocols are crucial to facilitate image analysis as a robust scientific method.In this article we will review the past observations in manual Marine Image Annotations (MIA) and provide a) a guideline for collecting manual annotations, b) definitions for annotation quality and c) a statistical framework to analyze the performance of human expert annotations and to compare those to computational approaches.
topic Environmental Monitoring
image annotation
environmental sciences
habitat mapping
Underwater image analysis
Marine Imaging
url http://journal.frontiersin.org/Journal/10.3389/fmars.2016.00059/full
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