PÁLENIK, Juraj, Jan BYŠKA, Stefan BRUCKNER a Helwig HAUSER. Scale-Space Splatting: Reforming Spacetime for Cross-Scale Exploration of Integral Measures in Molecular Dynamics. IEEE Transactions on Visualization and Computer Graphics. IEEE, 2020, roč. 26, č. 1, s. 643-653. ISSN 1077-2626. Dostupné z: https://dx.doi.org/10.1109/TVCG.2019.2934258.
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Základní údaje
Originální název Scale-Space Splatting: Reforming Spacetime for Cross-Scale Exploration of Integral Measures in Molecular Dynamics
Autoři PÁLENIK, Juraj (703 Slovensko), Jan BYŠKA (203 Česká republika, domácí), Stefan BRUCKNER a Helwig HAUSER.
Vydání IEEE Transactions on Visualization and Computer Graphics, IEEE, 2020, 1077-2626.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10200 1.2 Computer and information sciences
Stát vydavatele Kanada
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 4.579
Kód RIV RIV/00216224:14330/20:00115124
Organizační jednotka Fakulta informatiky
Doi http://dx.doi.org/10.1109/TVCG.2019.2934258
UT WoS 000506166100060
Klíčová slova anglicky molecular dynamics; multi-scale analysis; scale space; scientific simulation; space-time cube; time-series
Změnil Změnil: RNDr. Jan Byška, Ph.D., učo 207879. Změněno: 4. 9. 2020 18:22.
Anotace
Understanding large amounts of spatiotemporal data from particle-based simulations, such as molecular dynamics, often relies on the computation and analysis of aggregate measures. These, however, by virtue of aggregation, hide structural information about the space/time localization of the studied phenomena. This leads to degenerate cases where the measures fail to capture distinct behaviour. In order to drill into these aggregate values, we propose a multi-scale visual exploration technique. Our novel representation, based on partial domain aggregation, enables the construction of a continuous scale-space for discrete datasets and the simultaneous exploration of scales in both space and time. We link these two scale-spaces in a scale-space space-Time cube and model linked views as orthogonal slices through this cube, thus enabling the rapid identification of spatio-Temporal patterns at multiple scales. To demonstrate the effectiveness of our approach, we showcase an advanced exploration of a protein-ligand simulation.
VytisknoutZobrazeno: 26. 4. 2024 04:54