Dynamic Path Exploration on Mobile Devices

Michael Birsak, Przemyslaw Musialski, Peter Wonka, Michael Wimmer
Dynamic Path Exploration on Mobile Devices
IEEE Transactions on Visualization and Computer Graphics, 24(5):1784-1798, May 2018. [

preprint]

Content:

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Abstract
Additional Files and Images
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Information

Publication Type: Journal Paper (without talk)
Workgroup(s)/Project(s):
- Photo-Guide: Image-Based City Exploration
- MAKE-IT-FAB: Modeling of Shapes for Personal Fabrication
Date: May 2018
DOI: 10.1109/TVCG.2017.2690294
ISSN: 1077-2626
Journal: IEEE Transactions on Visualization and Computer Graphics
Number: 5
Pages (from): 1784
Pages (to): 1798
Volume: 24

Abstract

We present a novel framework for visualizing routes on mobile devices. Our framework is suitable for helping users explore their environment. First, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.

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thumbnail: thumbnail

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BibTeX

@article{birsak-2017-dpe,
  title =      "Dynamic Path Exploration on Mobile Devices",
  author =     "Michael Birsak and Przemyslaw Musialski and Peter Wonka and
               Michael Wimmer",
  year =       "2018",
  abstract =   "We present a novel framework for visualizing routes on
               mobile devices. Our framework is suitable for helping users
               explore their environment. First, given a starting point and
               a maximum route length, the system retrieves nearby points
               of interest (POIs). Second, we automatically compute an
               attractive walking path through the environment trying to
               pass by as many highly ranked POIs as possible. Third, we
               automatically compute a route visualization that shows the
               current user position, POI locations via pins, and detail
               lenses for more information about the POIs. The
               visualization is an animation of an orthographic map view
               that follows the current user position. We propose an
               optimization based on a binary integer program (BIP) that
               models multiple requirements for an effective placement of
               detail lenses. We show that our path computation method
               outperforms recently proposed methods and we evaluate the
               overall impact of our framework in two user studies.",
  month =      may,
  doi =        "10.1109/TVCG.2017.2690294",
  issn =       "1077-2626",
  journal =    "IEEE Transactions on Visualization and Computer Graphics",
  number =     "5",
  volume =     "24",
  pages =      "1784--1798",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/",
}