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https://hdl.handle.net/10316/27747
Title: | Context-aware features and robust image representations | Authors: | Martins, P. Carvalho, P. Gatta, C. |
Keywords: | Local features; Keypoint extraction; Image content descriptors; Image representation; Visual saliency; Information theory; Kernel estimators; Complementarity | Issue Date: | Feb-2014 | Publisher: | Elsevier | Citation: | MARTINS, P.; CARVALHO, P.; GATTA, C. - Context-aware features and robust image representations. "Journal of Visual Communication and Image Representation". ISSN 1047-3203. Vol. 25 Nº. 2 (2014) p. 339-348 | Serial title, monograph or event: | Journal of Visual Communication and Image Representation | Volume: | 25 | Issue: | 2 | 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. | URI: | https://hdl.handle.net/10316/27747 | ISSN: | 1047-3203 | DOI: | 10.1016/j.jvcir.2013.10.006 | Rights: | openAccess |
Appears in Collections: | I&D CISUC - Artigos em Revistas Internacionais |
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Context-Aware Features and Robust Image Representations.pdf | 1.37 MB | Adobe PDF | View/Open |
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