@inproceedings{Joshi:2005:ITV,
optpostscript = {},
optorganization = {},
author = {Alark Joshi and Penny Rheingans},
optkey = {},
optannote = {},
optseries = {},
editor = {Cl{\'a}udio T. Silva and Eduard Gr{\"o}ller and Holly Rushmeier},
url = {http://doi.ieeecomputersociety.org/10.1109/VIS.2005.54},
address = IEEEAdr,
localfile = {papers/Joshi.2005.ITV.pdf},
optisbn = {},
publisher = IEEEPub,
optkeywords = {},
optmonth = {},
optciteseer = {},
doi = {http://dx.doi.org/10.1109/VIS.2005.54},
optcrossref = {},
optwww = {},
booktitle = {Proceedings of IEEE Visualization (VIS 2005, October 23--28,
2005, Minneapolis, MN, USA)},
optvolume = {},
optnumber = {},
abstract = {Traditionally, time-varying data has been visualized using
snapshots of the individual time steps or an animation of the
snapshots shown in a sequential manner. For larger datasets with
many timevarying features, animation can be limited in its use, as
an observer can only track a limited number of features over the
last few frames. Visually inspecting each snapshot is not
practical either for a large number of time-steps. We propose new
techniques inspired from the illustration literature to convey
change over time more effectively in a time-varying dataset.
Speedlines are used extensively by cartoonists to convey motion,
speed, or change over different panels. Flow ribbons are another
technique used by cartoonists to depict motion in a single frame.
Strobe silhouettes are used to depict previous positions of an
object to convey the previous positions of the object to the user.
These illustration-inspired techniques can be used in conjunction
with animation to convey change over time.},
title = {{I}llustration-inspired {T}echniques for {V}isualizing {T}ime-varying
{D}ata},
year = {2005},
pages = {679--686},
}
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