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2014 IEEE Conference on Visual Analytics Science and Technology (VAST) (2014)
Paris, France
Oct. 25, 2014 to Oct. 31, 2014
ISBN: 978-1-4799-6227-3
pp: 265-266
Lei Ren , School of Automation Science and Electrical Engineering, Beihang University
Yi Du , Scientific Data Center, Computer Network Information Center, Chinese Academy of Sciences
ABSTRACT
This paper develops a sketch+fisheye interface supporting natural HCI in visual anal sis of lar e multi le time-series. The sketch-based fisheye can help analysts to efficiently analyze the high density temporal data at multi-scale magnification level while maintainin 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+fishe e interface will contribute to minimize the HCI cost and keep the consistency of thinking in visual analysis, thus enhancing analysis efficiency.
INDEX TERMS
Context, Human computer interaction, Visual analytics, Ink, Data visualization, Image color analysis
CITATION

L. Ren and Y. Du, "A sketch+fisheye interface for visual analytics of large time-series," 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 2014, pp. 265-266.
doi:10.1109/VAST.2014.7042522
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