Reducing Occlusion in Cinema Databases through Feature-Centric Visualizations

@inproceedings{Bujack2018ReducingOI,
  title={Reducing Occlusion in Cinema Databases through Feature-Centric Visualizations},
  author={Roxana Bujack and David H. Rogers and James Paul Ahrens},
  year={2018}
}
In modern supercomputer architectures, the I/O capabilities do not keep up with the computational speed. Image-based techniques are one very promising approach to a scalable output format for visual analysis, in which a reduced output that corresponds to the visible state of the simulation is rendered in-situ and stored to disk. These techniques can support interactive exploration of the data through image compositing and other methods, but automatic methods of highlighting data and reducing… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 55 REFERENCES

An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis

  • SC14: International Conference for High Performance Computing, Networking, Storage and Analysis
  • 2014
VIEW 5 EXCERPTS

The VTK User’s Guide

L. S. Avila, S. Barre, +7 authors W. J. Schroeder
  • Kitware New York,
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

High-dimensional scientific data exploration via cinema

  • 2017 IEEE Workshop on Data Systems for Interactive Analysis (DSIA)
  • 2017
VIEW 1 EXCERPT