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Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces

Shao, Lin and Behrisch, Michael and Schreck, Tobias and Landesberger, Tatiana von and Scherer, Maximilian and Bremm, Sebastian and Keim, Daniel A. (2014):
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces.
Eurographics Association, Goslar, In: EuroVA 2014, DOI: 10.2312/eurova.20141140, [Conference or Workshop Item]

Abstract

Recently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. We introduce an approach for explorative search and navigation in large sets of scatter plot diagrams. By means of a sketch-based query interface, users can start the exploration process by providing a visual example of the pattern they are interested in. A shadow-drawing approach provides suggestions for possibly relevant patterns while query drawing takes place, supporting the visual search process. We apply the approach on a large real-world data set, demonstrating the principal functionality and usefulness of our technique.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Shao, Lin and Behrisch, Michael and Schreck, Tobias and Landesberger, Tatiana von and Scherer, Maximilian and Bremm, Sebastian and Keim, Daniel A.
Title: Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
Language: English
Abstract:

Recently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. We introduce an approach for explorative search and navigation in large sets of scatter plot diagrams. By means of a sketch-based query interface, users can start the exploration process by providing a visual example of the pattern they are interested in. A shadow-drawing approach provides suggestions for possibly relevant patterns while query drawing takes place, supporting the visual search process. We apply the approach on a large real-world data set, demonstrating the principal functionality and usefulness of our technique.

Publisher: Eurographics Association, Goslar
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Digital libraries, Visualization, Sketch based queries
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: EuroVA 2014
Date Deposited: 12 Nov 2018 11:16
DOI: 10.2312/eurova.20141140
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