Abstract
SalBayes is an efficient visual attention model. We describe an improved SalBayes model with Gaussian Mixture Model (GMM) which can fit the object with various transformations better. The improved model learns the probability of an object's visual appearance within a particular feature map, and the Probability Distribution Function (PDF) is modeled using a Mixture Gaussian distribution for each individual feature. The results tested on Amsterdam Library of Object Images (ALOI) shows the better performance than that with the original model. © 2011 Springer-Verlag.
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CITATION STYLE
Guo, H., Wang, X., Zhong, Y., & Bi, S. (2011). An improved SalBayes model with GMM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6855 LNCS, pp. 356–363). https://doi.org/10.1007/978-3-642-23678-5_42
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