10 January 2021
MiCo Milan Congress Center
Europe/Rome timezone

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Monitoring marine ecosystems is of critical importance for gaining a better understanding of their complexity, including the effects of climate change and other anthropogenic influences on marine environments. 

Recently, oceanographic data acquisition has been greatly facilitated by the establishment of seafloor cabled observatories whose co-located sensors facilitate interdisciplinary studies and real-time observations. Traditional oceanographic research involved mostly ship-based sampling and autonomous deployments. These methods offer only a limited temporal sampling of complex underwater phenomena. Prior to the advent of cabled observatories, the majority of deep-sea video data was acquired by ROVs (remotely operated vehicles), and was analyzed and annotated manually.  In contrast, seafloor cabled observatories such those operated by Ocean Networks Canada offer a 24/7 presence, resulting in unprecedented volumes of visual data. Scheduled recordings of underwater video data and static images are gathered with Internet-connected fixed and PTZ cameras, which observe a variety of biological processes. Automated analysis of underwater imagery, for both fixed and mobile camera systems, is an emerging and rapidly growing field.

The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. We invite submissions from all areas of computer vision and image analysis relevant for, or applied to, underwater image analysis. Topics of interest include, but are not limited to:

  • underwater image enhancement
  • physical models of reflectance and light transport
  • underwater scene understanding
  • classification, detection, segmentation
  • autonomous underwater navigation
  • detection and monitoring of marine life
  • automated analysis for fisheries research
  • object tracking
  • automatic video annotation and summarization
  • context-aware machine learning and image understanding

Our proposal is the fourth workshop on underwater imaging to be held in conjunction with ICPR. CVAUI 2020 will be the first flagship event of the IAPR TC 5 Technical Committee, Computer Vision for Underwater Environmental Monitoring.

The three previous CVAUI workshops were held as satellite workshops of ICPR. We aim to build upon the successes of our first three workshops. In all previous workshops, submissions were peer reviewed by at least two reviewers from the Program committee. The peer review process was highly selective for both previous workshops. 

The proceedings of the previous workshops are available via IEEE Xplore  for 2014 and 2016, and Springer  for 2018.

ICPR 2020Ocean Networks Canada

MiCo Milan Congress Center
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