An Application of Graph Commute Times to Image Indexing

Abstract : In this paper we provide an overview of an image representation approach based on the description of layout and appearance properties of groups of features. In each image a graph of quantized features of interest is constructed. The features that are assigned to the same codebook bin are then grouped to produce a collapsed graph; the image content is represented by the matrix of commute times of this collapsed graph. This novel image descriptor can be used to label satellite image databases; we demonstrate the relevance and the efficiency of our approach by addressing classification problems on a dataset of 0.6 m resolution Quick bird images.
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Submitted on : Saturday, December 14, 2013 - 12:18:52 PM
Last modification on : Thursday, April 11, 2019 - 2:34:03 PM

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Régis Behmo, Nikos Paragios, Veronique Prinet. An Application of Graph Commute Times to Image Indexing. Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, 2008, Boston, United States. pp.495-498, ⟨10.1109/IGARSS.2008.4779392⟩. ⟨hal-00918717⟩

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