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Mixed Map Labeling

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Algorithms and Complexity (CIAC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9079))

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Abstract

Point feature map labeling is a geometric problem, in which a set of input points must be labeled with a set of disjoint rectangles (the bounding boxes of the label texts). Typically, labeling models either use internal labels, which must touch their feature point, or external (boundary) labels, which are placed on one of the four sides of the input points’ bounding box and which are connected to their feature points by crossing-free leader lines. In this paper we study polynomial-time algorithms for maximizing the number of internal labels in a mixed labeling model that combines internal and external labels. The model requires that all leaders are parallel to a given orientation \(\theta \in [0,2\pi )\), whose value influences the geometric properties and hence the running times of our algorithms.

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Authors and Affiliations

  1. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

    Maarten Löffler & Frank Staals

  2. Institute of Theoretical Informatics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Martin Nöllenburg

Authors
  1. Maarten Löffler
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  2. Martin Nöllenburg
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  3. Frank Staals
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Corresponding author

Correspondence to Frank Staals .

Editor information

Editors and Affiliations

  1. LAMSADE, Université Paris-Dauphine, Paris Cedex 16, France

    Vangelis Th. Paschos

  2. Inst. of Theoretical Computer Science, ETH Zürich, Zürich, Switzerland

    Peter Widmayer

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Löffler, M., Nöllenburg, M., Staals, F. (2015). Mixed Map Labeling. In: Paschos, V., Widmayer, P. (eds) Algorithms and Complexity. CIAC 2015. Lecture Notes in Computer Science(), vol 9079. Springer, Cham. https://doi.org/10.1007/978-3-319-18173-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-18173-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18172-1

  • Online ISBN: 978-3-319-18173-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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