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Journal of Electronic Imaging

Spatiotemporal attention operator using isotropic contrast and regional homogeneity
Author(s): Roman M. Palenichka; Ahmed Lakhssassi; Marek B. Zaremba
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Paper Abstract

A multiscale operator for spatiotemporal isotropic attention is proposed to reliably extract attention points during image sequence analysis. Its consecutive local maxima indicate attention points as the centers of image fragments of variable size with high intensity contrast, region homogeneity, regional shape saliency, and temporal change presence. The scale-adaptive estimation of temporal change (motion) and its aggregation with the regional shape saliency contribute to the accurate determination of attention points in image sequences. Multilocation descriptors of an image sequence are extracted at the attention points in the form of a set of multidimensional descriptor vectors. A fast recursive implementation is also proposed to make the operator's computational complexity independent from the spatial scale size, which is the window size in the spatial averaging filter. Experiments on the accuracy of attention-point detection have proved the operator consistency and its high potential for multiscale feature extraction from image sequences.

Paper Details

Date Published: 1 April 2011
PDF: 15 pages
J. Electron. Imaging. 20(2) 023018 doi: 10.1117/1.3599877
Published in: Journal of Electronic Imaging Volume 20, Issue 2
Show Author Affiliations
Roman M. Palenichka, Univ. du Québec en Outaouais (Canada)
Ahmed Lakhssassi, Univ. du Québec en Outaouais (Canada)
Marek B. Zaremba, Univ. du Québec en Outaouais (Canada)


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