TY - GEN
T1 - Learning visual saliency
AU - Zhao, Qi
AU - Koch, Christof
PY - 2011
Y1 - 2011
N2 - Inspired by the primate visual system, computational saliency models decompose the visual input into a set of feature maps across spatial scales. In the standard approach, the feature maps of the pre-specified channels are summed to yield the final saliency map. We study the feature integration problem and propose two improved strategies: first, we learn a weighted linear combination of features using the constraint linear regression algorithm. We further propose an AdaBoost based algorithm to approach the feature selection, thresholding, weight assignment, and nonlinear integration in a single principled framework. Extensive quantitative evaluations of the new models are conducted using four public datasets, and improvements on model predictability power are shown.
AB - Inspired by the primate visual system, computational saliency models decompose the visual input into a set of feature maps across spatial scales. In the standard approach, the feature maps of the pre-specified channels are summed to yield the final saliency map. We study the feature integration problem and propose two improved strategies: first, we learn a weighted linear combination of features using the constraint linear regression algorithm. We further propose an AdaBoost based algorithm to approach the feature selection, thresholding, weight assignment, and nonlinear integration in a single principled framework. Extensive quantitative evaluations of the new models are conducted using four public datasets, and improvements on model predictability power are shown.
UR - http://www.scopus.com/inward/record.url?scp=79957804527&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957804527&partnerID=8YFLogxK
U2 - 10.1109/CISS.2011.5766178
DO - 10.1109/CISS.2011.5766178
M3 - Conference contribution
AN - SCOPUS:79957804527
SN - 9781424498475
T3 - 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
BT - 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
T2 - 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
Y2 - 23 March 2011 through 25 March 2011
ER -