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Approximation Algorithms on Consistent Dynamic Map Labeling

  • Chung-Shou Liao
  • Chih-Wei Liang
  • Sheung-Hung Poon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8497)

Abstract

We consider the dynamic map labeling problem: given a set of rectangular labels on the map, the goal is to appropriately select visible ranges for all the labels such that no two consistent labels overlap at every scale and the sum of total visible ranges is maximized. We propose approximation algorithms for several variants of this problem. For the simple ARO problem, we provide a 3c logn-approximation algorithm for the unit-width rectangular labels if there is a c-approximation algorithm for unit-width label placement problem in the plane; and a randomized polynomial-time O(logn loglogn)-approximation algorithm for arbitrary rectangular labels. For the general ARO problem, we prove that it is NP-complete even for congruent square labels with equal selectable scale range. Moreover, we contribute 12-approximation algorithms for both arbitrary square labels and unit-width rectangular labels, and a 6-approximation algorithm for congruent square labels.

Keywords

Approximation Algorithm Active Range Consistent Dynamic Consistent Label Prism Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chung-Shou Liao
    • 1
  • Chih-Wei Liang
    • 1
  • Sheung-Hung Poon
    • 2
  1. 1.Department of Industrial Engineering and Engineering ManagementNational Tsing Hua UniversityHsinchuTaiwan, R.O.C.
  2. 2.Department of Computer Science & Institute of Information Systems and ApplicationsNational Tsing Hua UniversityHsinchuTaiwan, R.O.C.

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