Combining multi-resolution evidence for georeferencing Flickr images

Van Laere, Olivier, Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 and Dhoedt, Bart 2010. Combining multi-resolution evidence for georeferencing Flickr images. Lecture Notes in Computer Science 6379 , pp. 347-360. 10.1007/978-3-642-15951-0_32

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Abstract

We explore the task of determining the geographic location of photos on Flickr, using combined evidence from Naive Bayes classifiers that are trained at different spatial resolutions. In particular, we estimate the location of Flickr photos, based on their tags, at four different scales, ranging from a city-level granularity to fine-grained intra-city areas. Using Dempster-Shafer’s evidence theory, we combine the output of the different classifiers into a single mass assignment. We demonstrate experimentally that the induced belief and plausibility measures are useful to determine whether there is sufficient evidence to classify the photo at a given granularity. Thus an adaptive method is obtained, by which photos are georeferenced at the most appropriate resolution.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Springer
ISSN:	0302-9743
Last Modified:	25 Oct 2022 09:42
URI:	https://orca.cardiff.ac.uk/id/eprint/59690

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