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Proceedings Paper

Structuring a sharded image retrieval database
Author(s): Eric Liang; Avideh Zakhor
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Paper Abstract

In previous work we described an approach to localization based in image retrieval. Specifically, we assume coarse localization based on GPS or cell tower and refine it by matching a user generated image query to a geotagged image database. We partition the image dataset into overlapping cells, each of which contains its own approximate nearest-neighbors search structure. By combining search results from multiple cells as specified by coarse localization, we have demonstrated superior retrieval accuracy on a large image database covering downtown Berkeley. In this paper, we investigate how to select the parameters of such a system e.g. size and spacing of the cells, and show how the combination of many cells outperforms a single search structure over a large region.

Paper Details

Date Published: 7 March 2013
PDF: 7 pages
Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670H (7 March 2013); doi: 10.1117/12.2002272
Show Author Affiliations
Eric Liang, Univ. of California, Berkeley (United States)
Avideh Zakhor, Univ. of California, Berkeley (United States)


Published in SPIE Proceedings Vol. 8667:
Multimedia Content and Mobile Devices
Reiner Creutzburg; Todor G. Georgiev; Dietmar Wüller; Cees G. M. Snoek; Kevin J. Matherson; David Akopian; Andrew Lumsdaine; Lyndon S. Kennedy, Editor(s)

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