DocumentCode :
53594
Title :
SketchPadN-D: WYDIWYG Sculpting and Editing in High-Dimensional Space
Author :
Bing Wang ; Ruchikachorn, Puripant ; Mueller, Klaus
Author_Institution :
Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
Volume :
19
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
2060
Lastpage :
2069
Abstract :
High-dimensional data visualization has been attracting much attention. To fully test related software and algorithms, researchers require a diverse pool of data with known and desired features. Test data do not always provide this, or only partially. Here we propose the paradigm WYDIWYGS (What You Draw Is What You Get). Its embodiment, SketchPadND, is a tool that allows users to generate high-dimensional data in the same interface they also use for visualization. This provides for an immersive and direct data generation activity, and furthermore it also enables users to interactively edit and clean existing high-dimensional data from possible artifacts. SketchPadND offers two visualization paradigms, one based on parallel coordinates and the other based on a relatively new framework using an N-D polygon to navigate in high-dimensional space. The first interface allows users to draw arbitrary profiles of probability density functions along each dimension axis and sketch shapes for data density and connections between adjacent dimensions. The second interface embraces the idea of sculpting. Users can carve data at arbitrary orientations and refine them wherever necessary. This guarantees that the data generated is truly high-dimensional. We demonstrate our tool´s usefulness in real data visualization scenarios.
Keywords :
data visualisation; user interfaces; N-D polygon; SketchPadN-D; WYDIWYG editing; WYDIWYG sculpting; What You Draw Is What You Get; data cleaning; data density; direct data generation activity; high-dimensional data visualization; immersive data generation activity; interactive data editing; probability density functions; Data visualization; Image color analysis; Shape analysis; Data visualization; Image color analysis; N-D navigation; Shape analysis; Synthetic data generation; data acquisition and management; data editing; high-dimensional data; interaction; multiple views; multivariate data; parallel coordinates; scatterplot; user interface; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Paintings; Reproducibility of Results; Sculpture; Sensitivity and Specificity; Software; User-Computer Interface;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2013.190
Filename :
6634118
Link To Document :
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