RT Journal Article
JF IEEE Transactions on Visualization & Computer Graphics
YR 2013
VO 19
IS 12
SP 2346
TI Hybrid-Image Visualization for Large Viewing Environments
A1 Petra Isenberg,
A1 Pierre Dragicevic,
A1 Wesley Willett,
A1 Anastasia Bezerianos,
A1 Jean-Daniel Fekete,
K1 Data visualization
K1 Encoding
K1 Image color analysis
K1 Frequency-domain analysis
K1 collaboration
K1 Data visualization
K1 Encoding
K1 Image color analysis
K1 Frequency-domain analysis
K1 visualization
K1 Multi-scale
K1 large displays
K1 hybrid images
AB We present a first investigation into hybrid-image visualization for data analysis in large-scale viewing environments. Hybrid-image visualizations blend two different visual representations into a single static view, such that each representation can be perceived at a different viewing distance. Our work is motivated by data analysis scenarios that incorporate one or more displays with sufficiently large size and resolution to be comfortably viewed by different people from various distances. Hybrid-image visualizations can be used, in particular, to enhance overview tasks from a distance and detail-in-context tasks when standing close to the display. By using a perception-based blending approach, hybrid-image visualizations make two full-screen visualizations accessible without tracking viewers in front of a display. We contribute a design space, discuss the perceptual rationale for our work, provide examples, and introduce a set of techniques and tools to aid the design of hybrid-image visualizations.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1077-2626
LA English
DO 10.1109/TVCG.2013.163
LK http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.163