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Authors: Ross S. Purves ; Alistair Edwardes and Mark Sanderson

Affiliation: University of Zurich, Switzerland

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.

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Paper citation in several formats:
S. Purves, R.; Edwardes, A. and Sanderson, M. (2008). Describing the Where – Improving Image Annotation and Search through Geography. In Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU; ISBN 978-989-8111-24-1, SciTePress, pages 105-114. DOI: 10.5220/0002338401050114

@conference{mmiu08,
author={Ross {S. Purves}. and Alistair Edwardes. and Mark Sanderson.},
title={Describing the Where – Improving Image Annotation and Search through Geography},
booktitle={Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU},
year={2008},
pages={105-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002338401050114},
isbn={978-989-8111-24-1},
}

TY - CONF

JO - Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU
TI - Describing the Where – Improving Image Annotation and Search through Geography
SN - 978-989-8111-24-1
AU - S. Purves, R.
AU - Edwardes, A.
AU - Sanderson, M.
PY - 2008
SP - 105
EP - 114
DO - 10.5220/0002338401050114
PB - SciTePress