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Describing the where – improving image annotation and search through geography

Purves, R.S., Edwardes, A. and Sanderson, M. (2008) Describing the where – improving image annotation and search through geography. In: Proceedings of the workshop on Metadata Mining for Image Understanding (MMIU 2008). MMIU 2008, Jan 2008, Funchal, Madeira - Portugal. .

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Abstract

Image retrieval, using either content or text-based techniques, does not match up to the current quality of standard text retrieval. One possible reason for this mismatch is the semantic gap – the terms by which images are indexed do not accord with those imagined by users querying image databases. In this paper we set out to describe how geography might help to index the where facet of the Pansofsky-Shatford matrix, which has previously been shown to accord well with the types of queries users make. We illustrate these ideas with existing (e.g. identifying place names associated with a set of coordinates) and novel (e.g. describing images using land cover data) techniques to describe images and contend that such methods will become central as increasing numbers of images become georeferenced.

Item Type: Proceedings Paper
Keywords: Image retrieval, image indexing, geography
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Repository Officer
Date Deposited: 16 Sep 2008 17:46
Last Modified: 08 Feb 2013 16:56
Status: Published
URI: http://eprints.whiterose.ac.uk/id/eprint/4566

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