Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
GeoPix: image retrieval on the geo web, from camera click to mouse click
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
What Does the Sky Tell Us about the Camera?
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
A simple content-based strategy for estimating the geographical location of a webcam
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
A configurable photo browser framework for large image collections
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Determining the Geographical Location of Image Scenes based on Object Shadow Lengths
Journal of Signal Processing Systems
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Many studies have addressed various applications of geo-spatial image tagging such as image retrieval, image organisation and browsing. Geo-spatial image tagging can be done manually or automatically with GPS enabled cameras that allow the current position of the photographer to be incorporated into the meta-data of an image. However, current GPS-equipment needs certain time to lock onto navigation satellites and these are therefore not suitable for spontaneous photography. Moreover, GPS units are still costly, energy hungry and not common in most digital cameras on sale. This study explores the potential of, and limitations associated with, extracting geo-spatial information from the image contents. The elevation of the sun is estimated from the contents of the images, either directly by measuring the height of the sun above the horizon or indirectly by measuring the relative length of shadows in the scenes. The observed sun elevation and the creation time of the image is input into a celestial model to estimate the approximate geographical location of the photographer. The strategy is demonstrated on a set of manually measured photographs.