Abstract
Realizing the potential of digital media in the home relies on the existence of detailed, semantically unambiguous metadata. However, in the domain of personal photography, the generation of such metadata remains an unsolved issue. This paper introduces PixGeo, a solution to geographically grounding touristic personal photographs based on exploiting the existence of strong contextual connections among photographs in a user’s collection. We experiment with building temporal clusters within test collections and leverage an 8 million image dataset from Flickr to perform scene matching using k-NN. In the evaluation we find that the approach performs 30% better than chance for grounding photos.
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Carvalho, R.F., Ciravegna, F. (2009). PixGeo: Geographically Grounding Touristic Personal Photographs. In: Chua, TS., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds) Semantic Multimedia. SAMT 2009. Lecture Notes in Computer Science, vol 5887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10543-2_15
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DOI: https://doi.org/10.1007/978-3-642-10543-2_15
Publisher Name: Springer, Berlin, Heidelberg
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