Improved spatial pyramid matching for image classification

Title: Improved spatial pyramid matching for image classification
Creator: Shahiduzzaman, Mohammad; Zhang, Dengsheng; Lu, Guojun
Date: 2010
Type: Text; Conference paper
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/161127
Identifier: vital:12354
Identifier: https://doi.org/10.1007/978-3-642-19282-1_36
Abstract: Spatial analysis of salient feature points has been shown to be promising in image analysis and classification. In the past, spatial pyramid matching makes use of both of salient feature points and spatial multiresolution blocks to match between images. However, it is shown that different images or blocks can still have similar features using spatial pyramid matching. The analysis and matching will be more accurate in scale space. In this paper, we propose to do spatial pyramid matching in scale space. Specifically, pyramid match histograms are computed in multiple scales to refine the kernel for support vector machine classification. We show that the combination of salient point features, scale space and spatial pyramid matching improves the original spatial pyramid matching significantly.
Publisher: Springer
Relation: 10th Asian Conference on Computer Vision p. 449-459
Rights: This metadata is freely available under a CCO license
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