Contextual encoding of geospatial data

Authors:
Pragyana Mishra;Nagendra Kolluru
Affiliations:
Microsoft Corporation, Redmond, WA;Microsoft Corporation, Redmond, WA
Venue:
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2009

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Abstract

Contextual encoding represents information using data attributes that collectively form context. In case of geospatial data, these attributes may include color, texture, and structure attributes of geospatial entities. This paper introduces the paradigm of contextual encoding. It then presents algorithms for generating contextual encoding of geospatial data by automatically deriving salient visual cues such as color, texture, and structure of geospatial entities. The derived encoding can then be used for mapping applications such as generating rich maps, routing directions, location search, clustering, navigation, and reverse geocoding.