Workshop Overview

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 support interdisciplinary studies and real-time observations. Traditional oceanographic research involves mainly 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 remotely operated vehicles (ROVs), and was analyzed and annotated manually. In contrast, seafloor cabled observatories such as the NEPTUNE and VENUS observatories ( 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 pan-tilt-zoom mounted cameras, which record data which can be used to analyze a variety of biological processes.

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 imagery 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
  • object tracking
  • automatic video annotation and summarization
  • context-aware machine learning and image understanding

Accepted papers will be published by Conference Publishing Services (CPS). The proceedings will be submitted for inclusion to IEEE Xplore and and CSDL. Content will be submitted to the indexing companies for possible indexing. Indexing services are independent organizations, and we cannot guarantee that any particular abstract or index entry will be included in Ei Compendex or any other indexing service.


Alexandra Branzan Albu (PhD)
Associate Professor
Department of Electrical and Computer Engineering
University of Victoria
P.O. Box 1700 STN CSC
Victoria, BC V8W 2Y2
Maia Hoeberechts (PhD)
Associate Director, User Services
Ocean Networks Canada
University of Victoria
P.O. Box 1700 STN CSC
Victoria, BC V8W 2Y2

Programme Committee

1. Jacopo Aguzzi Spanish National Research Council, Dept. of Renewable Resources, Barcelona, Spain
2. Michael Aron ISEN Ecole D’Ingenieurs, Brest, France.
3. Bas Boom School of Informatics, University of Edinburgh, UK
4. Danelle Cline Monterey Bay Aquarium Research Institute, CA, US
5. Duane Edgington Monterey Bay Aquarium Research Institute, CA, US
6. Bob Fisher School of Informatics, University of Edinburgh, UK
7. Alexis Joly INRIA Sophia-Antipolis, France
8. David Kriegman University of California, San Diego
9. Greg Mori School of Computing Science, Simon Fraser University, Canada
10. Gabriella Sannitti di Baja Institute of Cybernetics "E.Caianiello", Italian National Research Council (CNR), Italy
11. Concetto Spampinato School of Informatics and Telecommunications, University of Catania, Italy
12. Stefanos Vrochidis Information Technologies Inst., Thesaloniki, Greece