Document - Indexing vectors of locally aggregated descriptors using inverted files

2014

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Indexing vectors of locally aggregated descriptors using inverted files

Amato G, Bolettieri P, Falchi F, Gennaro C

local features image classification Information Storage and Retrievals landmarks recognition

Vector of locally aggregated descriptors (VLAD) is a promising approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization error problem faced in Bag-of-Words (BoW) representation. In this paper, we propose to enable inverted files of standard text search engines to exploit VLAD representation to deal with large-scale image search scenarios. We show that the use of inverted files with VLAD significantly outperforms BoW in terms of efficiency and effectiveness on the same hardware and software infrastructure.

Publisher: ACM

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:280579,
	title = {Indexing vectors of locally aggregated descriptors using inverted files},
	author = {Amato G and Bolettieri P and Falchi F and Gennaro C},
	publisher = {ACM},
	doi = {10.1145/2578726.2578788},
	year = {2014}
}