A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Beyond GPS: determining the camera viewing direction of a geotagged image
Proceedings of the international conference on Multimedia
Accurate image localization based on google maps street view
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
City-scale landmark identification on mobile devices
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Topological relationship query processing for complex regions in Oracle Spatial
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Exploiting qualitative spatial reasoning for topological adjustment of spatial data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Multimedia multimodal geocoding
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
An algorithm for map matching given incomplete road data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Matching GPS traces to (possibly) incomplete map data: bridging map building and map matching
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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It is common today for even consumer-grade cameras to tag images and videos with the location of the imagery on the earth's surface. Some imagery, however, does not have a geo-location tag and it thus becomes necessary to ascertain the location of the camera, image, or objects in the scene. For such imagery, users must work hard to deduce geo-locations using reference data. Geo-tagging of such image/video is an extremely time-consuming and labor-intensive activity that often meets with limited success. In this paper, we propose a system to estimate the geo-location and viewing direction of a query photo using geometric configuration of objects in the query. Our experiment using a set of ground-truth data within our proposed system shows promising results.