Generalisation and Multiple Representation

Multi-scale maps

6604.2 - Introducing Leader Lines into Scale-Aware Consistent Labeling

Thursday, July 6
3:10 PM - 3:30 PM
Location: Virginia B

Consistently placing annotation labels across map scales often poses a problem due to the restriction of the screen space. This problem becomes further exacerbated when we navigate by arbitrarily zooming in and out of digital maps on mobile devices. In this paper, we introduce leader lines to conventional techniques for scale-aware consistent labeling to accommodate more annotation labels on the map domain while retaining their plausible arrangement. The overall visibility of annotation labels is optimized using genetic algorithms while avoiding their unwanted popping effects and sudden leaps regardless of the change in the map scale. The feasibility of the proposed approach is demonstrated by experimental results including comparison with relevant techniques.

Hsiang-Yun Wu

Project Assistant Professor
Keio University, Japan

Hsiang-Yun Wu received her Master’s degree in Science from National Taiwan University in 2008, and her Ph.D. degree in Complexity Science and Engineering from The University of Tokyo in 2013, respectively. Afterward, she became a postdoc researcher and a project assistant professor in Visualization Group at The University of Tokyo, from 2013 to 2015. Since April, 2015, she has been a project assistant professor in the Computer Graphics and Visualization Group at Keio University, Japan. Her research interests include Information Visualization, Geographic Visualization, Graph Drawing, and Multivariate Data Visualization.


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Shigeo Takahashi

University of Aizu, Japan

Shigeo Takahashi is currently a professor in the School of Computer Science and Engineering at the University of Aizu, Japan. He received his B.S., M.S., and Ph.D. in computer science from the University of Tokyo in 1992, 1994, and 1997, respectively. His research interests include scientific and information visualization, visual perception modeling, geographic/cartographic visualization and geometric modeling. He is currently serving as an associate editor of the journals "Computer Graphics Forum" (2016-) and "Computational Visual Media (2015-)", and served an associate editor of IEEE Transactions on Visualization and Computer Graphics (2011-2015). He also served as a program co-chair of IEEE Pacific Visualization Symposium (2014, 2015) and International Symposium on Visual Information Communication and Interaction (2015), and served as a program committee member for more than 50 computer visualization and graphics conferences. He received the Most Cited Paper Award for Graphical Models (2004-2006) in 2007 from Elsevier.


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Sheung-Hung Poon

Universiti Teknologi Brunei

Sheung-Hung Poon obtained my PhD degree in Computer Science at the Hong Kong University of Science and Technology in 2004. After his graduation, I then went to Eindhoven, the Netherlands to conduct the postdoc research in the Algorithm Group at Eindhoven University of Technology. After that, he worked in Department of Computer Science at National Tsing Hua University as an Assistant Professor for several years. Since 2015, he has been a Professor in School of Computing and Informatics at Brunei Technological University.


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Masatoshi Arikawa

Center for Spatial Information Science, The University of Tokyo

Masatoshi Arikawa is a professor of Center for Spatial Information Science, the University of Tokyo. Also, he is a chair of ICA commission of Ubiquitous Mapping. He is also a chair of the Standing Committee of Japan Cartographers Association. He have received PhD from Kyushu University at 1992. His research interests are Cartography, Computer Engineering, Geospatial Information Science and Technology, Databases, Virtual Reality, and Ubiquitous Computing.


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Pia Bereuter

postdoctoral fellow
Department of Geography, University of Zurich

Pia Bereuter is a postdoctoral researcher at the URPP ‘Dynamics of Healthy Aging’ and the Department of Geography at the University of Zurich


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6604.2 - Introducing Leader Lines into Scale-Aware Consistent Labeling

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