Principles of data mining
Temporal event clustering for digital photo collections
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Cortina: a system for large-scale, content-based web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer
Exploiting automatically inferred constraint-models for building identification in satellite imagery
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Geographic image retrieval using interest point descriptors
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An agenda for the next generation gazetteer: geographic information contribution and retrieval
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Enhanced geographically typed semantic schema matching
Web Semantics: Science, Services and Agents on the World Wide Web
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This work explores the potential for increased synergy between gazetteers and high-resolution remote sensed imagery. These two data sources are complementary. Gazetteers provide high-level semantic information about what is where but they must be manually compiled and maintained. On the other hand, imagery can be automatically acquired but only provides low-level radiometric information. We explore ways in which these two data sources can be integrated to more fully automate geographic data management. In particular, we show how gazetteers represent a rich source of semi-supervised training data for geospatial object modelling. We also describe an example of information flow in the other direction, namely, how high-resolution imagery can be used to refine the spatial extents of geospatial objects in gazetteers.