Title: Intelligent Prioritization and Filtering of Labels in Navigation Maps
Authors: Vaaraniemi, Mikael
Goerlich, Markus
in der Au, Aick
Citation: Journal of WSCG. 2014, vol. 22, no. 1, p. 11-20.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: article
článek
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Journal-No-1.pdf
http://hdl.handle.net/11025/11895
ISSN: 1213–6972 (hardcopy)
1213–6980 (CD-ROM)
1213–6964 (online)
Keywords: navigační mapy;3D mapy;anotování;štítkování;rankování;filtrování
Keywords in different language: navigation maps;3D maps;annotation;labeling;ranking;filtering
Abstract: The description of objects in navigation maps by textual annotations provides a powerful means for orientation and visual data exploration. However, displaying labels for all features leads to a cluttered map with unreadable labels and occluded information. Therefore, the overall goal is to display the most important and filter out the less important labels. In this paper, we present a general approach for filtering labels. We use the navigation in automotive maps as an application to test our approach. This involves the creation of a priority metric for ranking labels in maps. Our flexible system allows runtime configuration of the priority. Moreover, we keep the temporal coherency of label filtering; hence, jittering of labels does not occur. The system is predictable, modular, and can easily be adapted to new applications. On medium-class hardware, our real-time system is capable of filtering on average 1000 labels within 12 ms. A concluding expert study validates our approach for navigation purposes. All candidates approve the resulting clear labeling layout.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 22, Number 1 (2014)

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