Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Abstract. This paper deals with the theory and applications of spatially-variant mathematical morphology. We formalize the definition of spatially variant dilation/erosion and ope...
We describe an empirical study on the feature space of interest points for natural images. Although local features have been widely used in image analysis as building blocks of va...
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...