[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2512349.2512809acmconferencesArticle/Chapter ViewAbstractPublication PagesissConference Proceedingsconference-collections
research-article

Automatic annotation placement for interactive maps

Published: 06 October 2013 Publication History

Abstract

Situation maps play an important role in planning and decision making in emergency response centers. Important information such as operating units or hazards is usually shown on these maps. Arranging the huge amount of in-formation can be challenging for operators, as this information should always be visible while not occluding im-portant regions of the underlying geographic map. As large interactive whiteboards are increasingly replacing tradition-al analog maps, new ways to assist with arranging information can be provided. In this paper, we present a new approach for placing annotations automatically on top of a map. For finding the optimal placement, our metrics are based on geographic features, on the users' sketched input, and on the annotations geometry itself. Moreover, we also added additional features to minimize occlusions for multiple annotations. First results were highly promising and showed that our approach improves input performance while keeping an optimal view of the map.

Supplementary Material

suppl.mov (its162.mp4)
Supplemental video

References

[1]
Bae, W. D., Alkobaisi, S., Narayanappa, S., Vojte-chovský, P. and Bae, K. Y. Optimizing map labeling of point features based on an onion peeling approach. Journal of Spatial Information Science, 2 (2011), 3--28.
[2]
Bekos, M. A., Kaufmann, M., Symvonis, A. and Wolff, A. Boundary labeling: Models and efficient algorithms for rectangular maps. Computational Geometry, 36 (2007), 215--236.
[3]
Christensen, J., Marks, J. and Shieber, S. Placing text labels on maps and diagrams. in Heckbert, P. S. ed. Graphics gems IV, Academic Press Professional, Inc., (1994), 497--504.
[4]
Christensen, J., Marks, J., and Shieber, S. An empirical study of algorithms for point-feature label placement. ACM Trans. on Graphics, 14 (1995), 203--232.
[5]
Ciepłuch, B., Jacob, R., Mooney, P., and Winstanley, A. Comparison of the accuracy of OpenStreetMap for Ire-land with Google Maps and Bing Maps. Proc. of the 9th Int. Sym. on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, (2010).
[6]
Hong, F., Kaijun, L., and Zuxun, Z. An efficient and robust genetic algorithm approach for automatic map labeling. Int. Cartographic Conference, (2005).
[7]
Imhof, E. Die Anordnung der Namen in der Karte. Annuaire Int. de Cartographie II, Orell Füssli Verlag, (1962), 93--129.
[8]
Jones, C. B. Cartographic Name Placement with Prolog IEEE Comp. Graphics and Appl., 9 (1989), 36--47.
[9]
Kakoulis K., Tolli I. G. Labeling algorithms. in Tamassia, R. ed. Handbook of graph drawing and visualization. Chapman & Hall/CRC, 2007.
[10]
Kern, J. P., and Brewer, C. A. Automation and the Map Label Placement Problem: A Comparison of Two GIS Implementations of Label Placement. Cartographic Perspectives, 60 (2008).
[11]
Kirkpatrick, S., Gelatt, C. D, and Vecchi, M. P. Optimization by Simulated Annealing. Science, 220 (1983), 671--680.
[12]
Kohtake, N., Morimoto, S., Kogure, S., and Manandhar, D. Indoor and Outdoor Seamless Positioning using In-door Messaging System and GPS. 2011 Int. Conference on Indoor Positioning and Indoor Navigation (IPIN), Guimarães, Portugal, (2011).
[13]
Luboschik, M., Schumann, H. and Cords, H. Particle-based labeling: Fast point-feature labeling without obscuring other visual features. IEEE Trans. on Visualization and Computer Graphics, Educational Activities Department, 14 (2008), 1237--1244.
[14]
Maass, S., Jobst, M., and Doellner, J. Depth Cue of Occlusion Information as Criterion for the Quality of An-notation Placement in Perspective Views. The European Information Society, Springer Berlin Heidelberg, (2007), 473--486.
[15]
Nascimento, H. A. D., and Eades, P. User Hints for map labeling. Journal of Visual Languages & Computing, 19 (2008), 39--74.
[16]
Neis, P., Zielstra, D., and Zipf, A. The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-201 Future Internet, 4 (2011), 1--21.
[17]
Ram D. J., Sreenivas T.H., and Subramaniam K. Parallel Simulated Annealing Algorithms. Journal of Parallel and Distributed Computing, 37 (2), 1996, 207--212.
[18]
Shen, J., Wen, Y., Wang, Y., Chen, M., and Su H. On Point Feature Automatic Annotation Placement in 3D Environment. Proc. 21th ISPRS Congress, 37 part B2 (2008), 981--984.
[19]
Stadler, G., Steiner, T., and Beiglbock, J. A Practical Map Labeling Algorithm Utilizing Morphological Image Processing and Force-Directed Methods. Cartography and Geo. Information Soc., 33 (2006), 207--215.
[20]
Stein, T., and Décoret, X. Dynamic label placement for improved interactive exploration. Proc. of the 6th NPAR, (2008), 15--21.
[21]
Tobiasz, M., Isenberg, P., and Carpendale, S. Lark: Coordinating co-located collaboration with information visualization. IEEE Trans. on Visualization and Computer Graphics 15, 6 (2009), 1065--1072.
[22]
Van Dijk, S, Van Kreveld, M., Strijk, T., and Wolff, A. Towards an evaluation of quality for names placement methods. Int. Journal of Geographical Information Science, Taylor & Francis, 16 (2002), 641--661.
[23]
Wigdor, D., Jiang, H., Forlines, C., Borkin, M., and Shen, C. WeSpace: the design development and deployment of a walk-up and share multi-surface visual collaboration system. Proc. of CHI'09, (2009), 1237--1246.
[24]
Wu, H.-Y., Takahashi, S., Lin, C.-C., and Yen, H.-C. A zone-based approach for placing annotation labels on metro maps. Proc. of the 11th Int. conference on Smart graphics, Springer-Verlag (2011), 91--102.
[25]
Yoeli, P. The Logic of Automated Map Lettering. The Cartographic Journal, 9 (1972), 99--108.
[26]
Zilske, M., Neumann, A., and Nagel, K. OpenStreetMap For Traffic Simulation. Proc. of the 1st European State of the Map Conf., Vienna, (2011), 126--134.

Cited By

View all
  • (2024)Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link DiagramsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332692530:1(562-572)Online publication date: 1-Jan-2024
  • (2024)VisCollage: Annotative Collages for Organizing Data Event Charts2024 IEEE 17th Pacific Visualization Conference (PacificVis)10.1109/PacificVis60374.2024.00036(262-271)Online publication date: 23-Apr-2024
  • (2023)Automating the external placement of symbols for point features in situation maps for emergency responseCartography and Geographic Information Science10.1080/15230406.2023.221344650:4(385-402)Online publication date: 20-Jun-2023
  • Show More Cited By

Index Terms

  1. Automatic annotation placement for interactive maps

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ITS '13: Proceedings of the 2013 ACM international conference on Interactive tabletops and surfaces
    October 2013
    514 pages
    ISBN:9781450322713
    DOI:10.1145/2512349
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 October 2013

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. annotation placement
    2. gis
    3. large display
    4. situation map

    Qualifiers

    • Research-article

    Conference

    ITS '13
    Sponsor:
    ITS '13: The ACM International Conference on Interactive Tabletops and Surfaces
    October 6 - 9, 2013
    St. Andrews, Scotland, United Kingdom

    Acceptance Rates

    ITS '13 Paper Acceptance Rate 35 of 121 submissions, 29%;
    Overall Acceptance Rate 119 of 418 submissions, 28%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link DiagramsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332692530:1(562-572)Online publication date: 1-Jan-2024
    • (2024)VisCollage: Annotative Collages for Organizing Data Event Charts2024 IEEE 17th Pacific Visualization Conference (PacificVis)10.1109/PacificVis60374.2024.00036(262-271)Online publication date: 23-Apr-2024
    • (2023)Automating the external placement of symbols for point features in situation maps for emergency responseCartography and Geographic Information Science10.1080/15230406.2023.221344650:4(385-402)Online publication date: 20-Jun-2023
    • (2015)Building a Birds Eye ViewProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702313(4103-4112)Online publication date: 18-Apr-2015

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media