PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Amato G., Bolettieri P., Falchi F., Gennaro C. Indexing vectors of locally aggregated descriptors using inverted files. In: ICMR'14 - ACM International Conference on Multimedia Retrieval (Glasgow, UK, 1 - 4 April 2014). Proceedings, pp. 439 - 442. ACM, 2014.
 
 
Abstract
(English)
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.
URL: http://dx.doi.org/10.1145/2578726.2578788
DOI: 10.1145/2578726.2578788
Subject landmarks recognition
image classification
local features
H.3.1 Information Storage and Retrievals


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