DocumentCode :
119544
Title :
A sketch+fisheye interface for visual analytics of large time-series
Author :
Lei Ren ; Yi Du
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
265
Lastpage :
266
Abstract :
This paper develops a sketch+fisheye interface supporting natural HCI in visual analysis of large multiple time-series. The sketch-based fisheye can help analysts to efficiently analyze the high density temporal data at multi-scale magnification level while maintain in the entire tern oral context. The sketch-based multiple time-series query provides a natural HCI technique which is especially suitable for visual analysis of temporal curves. This sketch+fisheye interface will contribute to minimize the HCI cost and keep the consistency of thinking in visual analysis, thus enhancing analysis efficiency.
Keywords :
data visualisation; human computer interaction; query processing; time series; high density temporal data; human computer interaction; large multiple time-series; multiscale magnification level; natural HCI technique; sketch+fisheye interface; sketch-based multiple time-series query; temporal curves; visual analysis; visual analytics; Context; Data visualization; Human computer interaction; Image color analysis; Ink; Visual analytics; Time-series visualization; fisheye; human-computer interaction; sketch; visual analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/VAST.2014.7042522
Filename :
7042522
Link To Document :
بازگشت