Video n. 184

TDM: Demonstration of city-scale CFD data exploration with GPU-accelerated compressed DVR

Fabio Marton, and Enrico Gobbetti

  • Date: September, 2022
  • Production: CRS4
  • Encoding: h264
  • Abstract

    The video demonstrates the application of our techniques for compression of massive time-varying rectilinear scalar volumes using sparse coding on a learned dictionary. See the publications below for details. The examples show the exploration of the vorticity field around building and of the transport of pollutants.

    Related Publications

    [1] Jose Díaz, Fabio Marton, and Enrico Gobbetti. Interactive Spatio-Temporal Exploration of Massive Time-Varying Rectilinear Scalar Volumes based on a Variable Bit-Rate Sparse Representation over Learned Dictionaries. Computers & Graphics, 88: 45-56, 2020. DOI: 10.1016/j.cag.2020.03.002