Video Lab Overview Team Projects Publications Latest News Technologies Data Our team of research technicians annotates all of the video from MBARI’s ROV and other select platforms, documenting animal identifications, features, and behaviors along with surrounding habitat characteristics. These observations provide the foundation for novel research that is critical to our understanding of ocean health and our climate system. We aim to build capacity for the future by continually advancing our video infrastructure, including our lab facilities, the visual asset management system, annotation workflows, and supporting programs. We provide research, engineering, and processing expertise to build innovative hardware and software programs that support both human- and machine-generated observations for our video observations catalog.Through continual collaboration with engineers and researchers across the institute, we strive to attain our common goals around visual observation data generation, maintenance, utilization, and dissemination. To further enrich our data and our programs, we also collaborate with colleagues outside of MBARI as a means of sharing our data with and incorporating feedback from the broader research and development communities. These stunning visual assets also offer a powerful means of engaging broader audiences and inspiring them to learn more and become ocean champions. To that end, we work in partnership with MBARI’s Science Communication team to produce videos and create other content that utilizes these rich archives to tell compelling stories about our research. Team Directory Nancy Jacobsen Stout Interim ITD Director/Video Lab Manager Megan Bassett Research Technician III Larissa Lemon Research Technician Lonny Lundsten Senior Research & Engineering Technician Giovanna Sainz Research Assistant Kyra Schlining Senior Research Technician Kristine Walz Senior Research Technician Projects All Projects Midwater Time Series Project Midwater Time Series Providing specific data to investigate the natural and climate-change-caused variability of oceanic communities at depths below the mixed layer. Station M Long-term Time Series Project Station M Long-term Time Series The Station M study is one of the most detailed investigations of any abyssal area in the world ocean. Over this 25-year study, we have continuously monitored the amount of sinking particulate matter through the benthic boundary layer. Publications All Publications Lemon, L.M., K.L. Smith Jr., and C.L. Huffard. 2022. Abyssal epibenthic holothurians respond differently to food quantity and concentration fluctuations over a decade of daily observation (2007 ̶ 2017). Deep-Sea Research I, 188(103853): 1–10. https://doi.org/10.1016/j.dsr.2022.103853 Cochrane, G.R., L.A. Kuhnz, L. Gilbane, P. Dartnell, M.A.L. Walton, and C.K. Paull. California Deepwater Investigations and Groundtruthing (Cal DIG) I, Volume 3—Benthic Habitat Characterization Offshore Morro Bay, California. Reston, VA: 2022. https://doi.org/10.3133/ofr20221035 Kuhnz, L.A., L. Gilbane, G.R. Cochrane, and C.K. Paull. 2022. Multifactor biotopes as a method for detailed site characterization in diverse benthic megafaunal communities and habitats in deep-water off Morro Bay, California. Deep Sea Research Part I: Oceanographic Research Papers, 190(103872): 1–19. https://doi.org/10.1016/j.dsr.2022.103872 Boulais, O., B. Woodward, L. Lundsten, K. Barnard, B. Schlining, K.C. Bell, and K. Katija. 2020. FathomNet: An underwater image training database for ocean exploration and discovery. arXiv: 2007.00114. https://doi.org/10.48550/arXiv.2007.00114 Katija, K., B. Schlining, L. Lundsten, K. Barnard, G. Sainz, O. Boulais, B. Woodward, and K.L. Croff Bell. 2021. FathomNet: An open, underwater image repository for automated detection and classification of midwater and benthic animals. Marine Technology Society Journal, 55(3): 136–137. https://doi.org/10.4031/mtsj.55.3.20 Latest News All News News MBARI shares latest tech innovations for visualizing ocean life and ecosystems at Marine Imaging Workshop Behind the Scenes 10.10.24 News MBARI technology featured in an episode of BBC Studios Natural History Unit’s landmark series Behind the Scenes 11.16.23 News Fresh from the Deep:MBARI scientists film elusive dreamer anglerfish in 4K Behind the Scenes 11.07.23 Technologies All Technologies Software Video Annotation and Reference System (VARS) Technology Video Annotation and Reference System (VARS) A software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the data associated with deep-sea video archives. Data All Data Data FathomNet FathomNet is a publicly available database that makes use of existing (and future), expertly curated data from several sources Data Deep-Sea Guide The Deep-Sea Guide provides access to the MBARI’s database of millions of records of deep-sea animals, seafloor habitats, geological features, and research tools
Midwater Time Series Project Midwater Time Series Providing specific data to investigate the natural and climate-change-caused variability of oceanic communities at depths below the mixed layer.
Station M Long-term Time Series Project Station M Long-term Time Series The Station M study is one of the most detailed investigations of any abyssal area in the world ocean. Over this 25-year study, we have continuously monitored the amount of sinking particulate matter through the benthic boundary layer.
Lemon, L.M., K.L. Smith Jr., and C.L. Huffard. 2022. Abyssal epibenthic holothurians respond differently to food quantity and concentration fluctuations over a decade of daily observation (2007 ̶ 2017). Deep-Sea Research I, 188(103853): 1–10. https://doi.org/10.1016/j.dsr.2022.103853
Cochrane, G.R., L.A. Kuhnz, L. Gilbane, P. Dartnell, M.A.L. Walton, and C.K. Paull. California Deepwater Investigations and Groundtruthing (Cal DIG) I, Volume 3—Benthic Habitat Characterization Offshore Morro Bay, California. Reston, VA: 2022. https://doi.org/10.3133/ofr20221035
Kuhnz, L.A., L. Gilbane, G.R. Cochrane, and C.K. Paull. 2022. Multifactor biotopes as a method for detailed site characterization in diverse benthic megafaunal communities and habitats in deep-water off Morro Bay, California. Deep Sea Research Part I: Oceanographic Research Papers, 190(103872): 1–19. https://doi.org/10.1016/j.dsr.2022.103872
Boulais, O., B. Woodward, L. Lundsten, K. Barnard, B. Schlining, K.C. Bell, and K. Katija. 2020. FathomNet: An underwater image training database for ocean exploration and discovery. arXiv: 2007.00114. https://doi.org/10.48550/arXiv.2007.00114
Katija, K., B. Schlining, L. Lundsten, K. Barnard, G. Sainz, O. Boulais, B. Woodward, and K.L. Croff Bell. 2021. FathomNet: An open, underwater image repository for automated detection and classification of midwater and benthic animals. Marine Technology Society Journal, 55(3): 136–137. https://doi.org/10.4031/mtsj.55.3.20
News MBARI shares latest tech innovations for visualizing ocean life and ecosystems at Marine Imaging Workshop Behind the Scenes 10.10.24
News MBARI technology featured in an episode of BBC Studios Natural History Unit’s landmark series Behind the Scenes 11.16.23
News Fresh from the Deep:MBARI scientists film elusive dreamer anglerfish in 4K Behind the Scenes 11.07.23
Software Video Annotation and Reference System (VARS) Technology Video Annotation and Reference System (VARS) A software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the data associated with deep-sea video archives.
Data FathomNet FathomNet is a publicly available database that makes use of existing (and future), expertly curated data from several sources
Data Deep-Sea Guide The Deep-Sea Guide provides access to the MBARI’s database of millions of records of deep-sea animals, seafloor habitats, geological features, and research tools