@Article{PedroMartins2014,
author="Pedro Martins
and Paulo Carvalho
and Carlo Gatta",
title="Context-aware features and robust image representations",
journal="Journal of Visual Communication and Image Representation",
year="2014",
volume="25",
number="2",
pages="339--348",
abstract="Local image features are often used to efficiently represent image content. The limited number of types of features that a local feature extractor responds to might be insufficient to provide a robust image representation. To overcome this limitation, we propose a context-aware feature extraction formulated under an information theoretic framework. The algorithm does not respond to a specific type of features; the idea is to retrieve complementary features which are relevant within the image context. We empirically validate the method by investigating the repeatability, the completeness, and the complementarity of context-aware features on standard benchmarks. In a comparison with strictly local features, we show that our context-aware features produce more robust image representations. Furthermore, we study the complementarity between strictly local features and context-aware ones to produce an even more robust representation.",
optnote="LAMP; 600.079;MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2467), last updated on Mon, 27 Jun 2016 17:50:36 +0200",
doi="10.1016/j.jvcir.2013.10.006",
file=":http://refbase.cvc.uab.es/files/MCG2014.pdf:PDF"
}