TY  - JOUR
AU  - Pedro Martins
AU  - Paulo Carvalho
AU  - Carlo Gatta
PY  - 2014//
TI  - Context-aware features and robust image representations
T2  - JVCIR
JO  - Journal of Visual Communication and Image Representation
SP  - 339
EP  - 348
VL  - 25
IS  - 2
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/MCG2014.pdf
UR  - http://dx.doi.org/10.1016/j.jvcir.2013.10.006
N1  - LAMP; 600.079;MILAB
ID  - Pedro Martins2014
ER  -