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Spatiotemporal attention operator using isotropic contrast and regional homogeneity

[+] Author Affiliations
Roman Palenichka

Université du Québec en Outaouais, Department of Computer Science and Engineering, Gatineau, Québec, J84 3G5 Canada

Ahmed Lakhssassi

Université du Québec en Outaouais, Department of Computer Science and Engineering, Gatineau, Québec, J84 3G5 Canada

Marek Zaremba

Université du Québec en Outaouais, Department of Computer Science and Engineering, Gatineau, Québec, J84 3G5 Canada

J. Electron. Imaging. 20(2), 023018 (July 06, 2011). doi:10.1117/1.3599877
History: Received June 04, 2010; Revised March 29, 2011; Accepted May 23, 2011; Published July 06, 2011; Online July 06, 2011
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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.

© 2011 SPIE and IS&T

Citation

Roman Palenichka ; Ahmed Lakhssassi and Marek Zaremba
"Spatiotemporal attention operator using isotropic contrast and regional homogeneity", J. Electron. Imaging. 20(2), 023018 (July 06, 2011). ; http://dx.doi.org/10.1117/1.3599877


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