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Automatic Annotation of Geographic Maps

Authors: Mirko Horstmann; Wilko Heuten; Andrea Miene; Susanne Boll;

Automatic Annotation of Geographic Maps

Abstract

In this paper, we describe an approach to generate semantic descriptions of entities in city maps so that they can be presented through accessible interfaces. The solution we present processes bitmap images containing city map excerpts. Regions of interest in these images are extracted automatically based on colour information and subsequently their geometric properties are determined. The result of this process is a structured description of these regions based on the Geography Markup Language (GML), an XML based format for the description of GIS data. This description can later serve as an input to innovative presentations of spatial structures using haptic and auditory interfaces

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
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