Uncertainty-Aware Visualization of Fish Populations (Demo)

Additional Metadata
THEME	Information (theme 2), Life Sciences (theme 5)
Conference	Advanced Visual Interfaces
Note	Abstract: Applying computer vision for monitoring ecosystems opens new perspectives for marine ecology research. Information on fish populations can be automatically extracted from underwater cameras. As scientists, ecologists need to understand the uncertainty in computer vision results. We present an interface for studying fish populations that addresses two challenges: provide information about fish populations as well as computer vision uncertainty; and enable open-ended data exploration. We introduce an uncertainty visualization for non-experts and a generalizable interaction design for data exploration.
Organisation	Human-Centered Data Analytics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Beauxis-Aussalet, E.M.A.L, & Hardman, L. (2014, January). Uncertainty-Aware Visualization of Fish Populations (Demo).

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