EuroVA17

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https://diglib.eg.org/handle/10.2312/2631436

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Browsing EuroVA17 by Subject "Computing methodologies"

Now showing 1 - 2 of 2
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    Combining Cluster and Outlier Analysis with Visual Analytics
    (The Eurographics Association, 2017) Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W.; Michael Sedlmair and Christian Tominski
    Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In this work, we present a visual analytics tool that allows the combined analysis of clusters and outliers. Users can add multiple clustering and outlier analysis algorithms, compare results visually, and combine the algorithms' results. The usefulness of the combined analysis is demonstrated using the example of labeling unknown data sets. The usage scenario also shows that identified clusters and outliers can share joint areas of the data space.
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    Visual Analytics for Multitemporal Aerial Image Georeferencing
    (The Eurographics Association, 2017) Amor-Amorós, Albert; Federico, Paolo; Miksch, Silvia; Zambanini, Sebastian; Brenner, Simon; Sablatnig, Robert; Michael Sedlmair and Christian Tominski
    Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like unexploded ordnance detection. In order to make a semi-automatic scenario possible, we introduce a Visual Analytics approach for multitemporal aerial image georeferencing designed in close collaboration with real-world analysts that face the problem on a daily basis, and implemented by combining computer vision and interactive visual exploration methods. We report on informal validation findings resulting from the integration of our solution into our users' GIS platform of choice, which positively illustrate its effectiveness and time-saving potential.