TY - GEN
T1 - Using cinematic effects to visualize the deep water impact data set
AU - Rehme, Matt
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10
Y1 - 2018/10
N2 - The process of data visualization often involves a balance between art and science. Data must be presented in such a way that preserves their accuracy and integrity, while incorporating many, somewhat subjective, artistic elements such as color, composition, depth, and others. The latter elements help the viewer to distinguish between variables, to perceive a range of values, to identify regions of scientific interest, and to orient themselves spatially in the virtual scene. This paper briefly explores the application of different cinematic effects, such as camera movement, camera focus, slow motion, color, lighting, and the use of various graphical shaders as a means of animating data in a way that is artistically compelling and engaging, while remaining accurate and informative.
AB - The process of data visualization often involves a balance between art and science. Data must be presented in such a way that preserves their accuracy and integrity, while incorporating many, somewhat subjective, artistic elements such as color, composition, depth, and others. The latter elements help the viewer to distinguish between variables, to perceive a range of values, to identify regions of scientific interest, and to orient themselves spatially in the virtual scene. This paper briefly explores the application of different cinematic effects, such as camera movement, camera focus, slow motion, color, lighting, and the use of various graphical shaders as a means of animating data in a way that is artistically compelling and engaging, while remaining accurate and informative.
UR - https://www.scopus.com/pages/publications/85072961287
U2 - 10.1109/SciVis.2018.8823604
DO - 10.1109/SciVis.2018.8823604
M3 - Conference contribution
AN - SCOPUS:85072961287
T3 - 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
SP - 82
EP - 84
BT - 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings
A2 - Geveci, Berk
A2 - Kindlmann, Gordon
A2 - Nonato, Luis Gustavo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Scientific Visualization Conference, SciVis 2018
Y2 - 21 October 2018 through 26 October 2018
ER -