7 March 2013 Structuring a sharded image retrieval database
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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.
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Eric Liang, Eric Liang, Avideh Zakhor, Avideh Zakhor, } "Structuring a sharded image retrieval database", Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670H (7 March 2013); doi: 10.1117/12.2002272; https://doi.org/10.1117/12.2002272

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