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Consistent hierarchical labeling of image and image regions

UNSPECIFIED (2011) Consistent hierarchical labeling of image and image regions US 2011/0052063 A1.

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Classification of image regions comprises: recursively partitioning an image into a tree of image regions having the image as a tree root and at least one image patch in each leaf image region of the tree, the tree having nodes defined by the image regions and edges defined by pairs of nodes connected by edges of the tree; assigning unary classification potentials to nodes of the tree; assigning pairwise classification potentials to edges of the tree; and labeling the image regions of the tree of image regions based on optimizing an objective function comprising an aggregation of the unary classification potentials and the pairwise classification potentials.

Item Type: Patent
Divisions : Surrey research (other units)
Authors :
McAuley, J
de Campos,
Csurka, G
Perronnin, F
Date : 3 March 2011
DOI : US 2011/0052063 A1
Uncontrolled Keywords : Computer Vision, Image Segmentation, Structured Learning
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:12
Last Modified : 23 Jan 2020 11:01

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