A video processing and data retrieval framework for fish population monitoring

  • Authors:
  • Emma Beauxis-Aussalet;Simone Palazzo;Gayathri Nadarajan;Elvira Arslanova;Concetto Spampinato;Lynda Hardman

  • Affiliations:
  • CWI & Information Access Group, Amsterdam, Netherlands;University of Catania & Department of Informatics and Telecommunication Engineering, Catania, Italy;University of Edinburgh & School of Informatics, Edinburgh, United Kingdom;CWI & Information Access Group, Amsterdam, Netherlands;University of Catania & Department of Informatics and Telecommunication Engineering, Catania, Italy;CWI & Information Access Group, Amsterdam, Netherlands

  • Venue:
  • Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data
  • Year:
  • 2013

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Abstract

In this work we present a framework for fish population monitoring through the analysis of underwater videos. We specifically focus on the user information needs, and on the dynamic data extraction and retrieval mechanisms that support them. Sophisticated though a software tool may be, it is ultimately important that its interface satisfies users' actual needs and that users can easily focus on the specific data of interest. In the case of fish population monitoring, marine biologists have to interact with a system which not only provides information from a biological point of view, but also offers instruments to let them guide the video processing task for both video and algorithm selection. This paper aims at describing the system's underlying video processing and workflow low-level details, and their connection to the user interface for on-demand data retrieval by biologists.