High-quality and Low-memory-footprint Progressive Decoding of Large-scale Particle Data

Duong Hoang, Harsh Bhatia, Peter Lindstrom, Valerio Pascucci

External link (DOI)
View presentation:2021-10-25T16:00:00ZGMT-0600Change your timezone on the schedule page
2021-10-25T16:00:00Z
Exemplar figure, described by caption below
We present particle compression approaches with asymptotically constant memory footprint and high-quality lossy reconstruction of large particle datasets. Our method supports progressive, random-access, and error-driven decoding, while being much faster than the MPEG standard.
Abstract

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