Abstract
Visualization is often used to identify features of interest in a dataset. The identification of features cannot be fully automated and the subjective interpretation of the user is involved in the identification of the feature. There can be many such interpretations, both from a single user as s/he explores the data, and also in collaborations. Managing all these interpretations is problematic. We propose a novel visualization architecture that addresses this problem. We illustrate our method by examining how geoseismic data is interpreted, since this application presents all of the issues above.
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Al-Naser, A., Rasheed, M., Irving, D., Brooke, J. (2015). User’s Interpretations of Features in Visualization. In: Battiato, S., Coquillart, S., Pettré, J., Laramee, R., Kerren, A., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics - Theory and Applications. VISIGRAPP 2014. Communications in Computer and Information Science, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-319-25117-2_7
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DOI: https://doi.org/10.1007/978-3-319-25117-2_7
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