Title | SALIENCY DETECTION VIA STATISTICAL NON-REDUNDANCY |
Publication Type | Conference Paper |
Year of Publication | 2012 |
Authors | Jain, A., A. Wong, and P. Fieguth |
Conference Name | International Conference on Image Processing |
Publisher | IEEE |
Conference Location | Orlando |
Abstract | A novel algorithm based on statistical non-redundancy is proposed for saliency detection in natural images. By modeling site neighbourhoods as realizations of other site neighbourhoods under a Gaussian process, the saliency of any arbitrary site can be characterized by the statistical non-redundancy of its site neighbourhood with respect to other site neighbourhoods in a given image. Preliminary results using natural images show that the proposed method provides improved precision vs. recall characteristics over previous methods such as spectral residuals and spectral whitening. |
SALIENCY DETECTION VIA STATISTICAL NON-REDUNDANCY
Related files: