Authors:
Nicholas Tan Jerome
;
Suren Chilingaryan
;
Andrei Shkarin
;
Andreas Kopmann
;
Michael Zapf
;
Alexander Lizin
and
Till Bergmann
Affiliation:
Karlsruhe Institute of Technology (KIT), Germany
Keyword(s):
Web-based Visualization, Scientific Visualization, Multi-resolution Slicemap, Visual Data Browsing.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Collaborative Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Interface and Interaction Techniques for Visualization
;
Internet, Web and Security Visualization
;
Large Data Visualization
;
Scientific Visualization
;
Spatial Data Visualization
;
Visualization Applications
Abstract:
With data sets growing beyond terabytes or even petabytes in scientific experiments, there is a trend of keeping
data at storage facilities and providing remote cloud-based services for analysis. However, accessing these data
sets remotely is cumbersome due to additional network latency and incomplete metadata description. To ease
data browsing on remote data archives, our WAVE framework applies an intelligent cache management to
provide scientists with a visual feedback on the large data set interactively. In this paper, we present methods
to reduce the data set size while preserving visual quality. Our framework supports volume rendering and
surface rendering for data inspection and analysis. Furthermore, we enable a zoom-on-demand approach,
where a selected volumetric region is reloaded with higher details. Finally, we evaluated theWAVE framework
using a data set from the entomology science research.