We consider the problem of image classification when more than one visual feature is available. In such cases, Bayes fusion offers an attractive solution by combining the result...
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
The goal of this paper is to offer a framework for image classification "by type". For example, one may want to classify an image of a certain office as man-made ? as op...
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
In this paper, we proposed a novel decision fusion scheme based on the psychological observations on human beings’ visual and aural attention characteristics, which combines a se...