OD24D:
Using Cloud Infrastructure and Annotation Tools to Manage Complex and Voluminous Oceanographic Data Files Posters


Session ID#: 28447

Session Description:
Oceanographic expeditions now routinely utilize data collection tools such multibeam sonars, autonomous and remotely operated vehicles equipped with high resolution video cameras, and a variety of robust robotic platforms for data collection. The large volume of files, high data collection rates, and complexity of data sets of imagery, video, and high data density acoustics, for example, particularly pose a unique set of challenges which may limit or prohibit the use and reuse of these data sets. Utilizing cloud computing and storage as well as automated and semi-automated annotation tools are some mechanisms for enabling wider access and better utilization of these large and complex data sets. This goal of this session is to hear from scientific researchers and practitioners on how the utilization of annotation tools and cloud architecture has increased their capability and capacity for handling, analyzing, visualizing, annotating, and extracting knowledge from such datasets. Abstracts should be submitted from projects that have successfully utilized annotation tools to analyze underwater imagery or video, improved annotation schema/tools/processes, improved correlations of imagery or video data with additional oceanographic data, and/or utilized cloud infrastructure in unique ways.
Primary Chair:  Allison Miller, Schmidt Ocean Institute, Palo alto, CA, United States
Co-chairs:  Vicki Lynn Ferrini, Lamont - Doherty Earth Observatory, Palisades, NY, United States, Reyna Jenkyns, Ocean Networks Canada, Victoria, BC, Canada and Brian RC Kennedy, NOAA Office of Ocean Exploration and Research, Silver Spring, MD, United States
Moderators:  Brian RC Kennedy, NOAA Office of Ocean Exploration and Research, Silver Spring, MD, United States, Vicki Lynn Ferrini, Columbia University, Lamont-Doherty Earth Observatory, Palisades, NY, United States, Allison Miller, Schmidt Ocean Institute, Palo alto, CA, United States and Reyna Jenkyns, Ocean Networks Canada, Victoria, BC, Canada
Student Paper Review Liaisons:  Reyna Jenkyns, Ocean Networks Canada, Victoria, BC, Canada and Allison Miller, Schmidt Ocean Institute, Palo alto, CA, United States
Index Terms:

1906 Computational models, algorithms [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1976 Software tools and services [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]
Cross-Topics:
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies
  • OM - Ocean Modeling

Abstracts Submitted to this Session:

Cloud-Scaled Static Scene Labelling in Subsea HD Video (311731)
Aaron Marburg, Applied Physics Laboratory University of Washington, Seattle, WA, United States, Timothy J Crone, Lamont -Doherty Earth Observatory, Palisades, NY, United States and Friedrich Knuth, Rutgers University, Department of Marine and Coastal Sciences, New Brunswick, NJ, United States
Challenges of “Invited” Crowdsourced Annotations (314846)
Mashkoor Malik1, Brian RC Kennedy2, Gordon Rees3 and Jessica Robinson3, (1)NOAA, Office of Ocean Exploration and Research, Silver Spring, MD, United States, (2)NOAA Office of Ocean Exploration and Research, Silver Spring, MD, United States, (3)Ocean Networks Canada, Victoria, BC, Canada
Generalising Self-consistent and Automated Domain Discretisation for Multi-scale Ocean Models (323281)
Adam Stephen Candy, Delft University of Technology, Environmental Fluid Mechanics, Delft, Netherlands
Plankton Image Classification, Storage, Visualization, and Analytics Leveraging Cloud Computing (323533)
Michael Wolf Saminsky and Scott m Gallager, Woods Hole Oceanographic Institution, Biology, Woods Hole, MA, United States
Expert, Crowd, Students or Algorithm: who holds the key to deep-sea imagery ‘big data’ processing? (325519)
Maia Hoeberechts1, Marjolaine Matabos2, Kim Juniper1, Jacopo Aguzzi3 and Alexandra Branzan Albu4, (1)Ocean Networks Canada, Victoria, BC, Canada, (2)IFREMER, Deep environment laboratory, Plouzané, France, (3)Institut de Ciencies del Mar (ICM-CSIC), Barcelona, Spain, (4)University of Victoria, Victoria, BC, Canada

See more of: Ocean Data Management