Abstract. In this article we present the results of an unsupervised segmentation algorithm based on a multiresolution method. The algorithm uses color and edge information in an it...
We propose a novel Markovian segmentation
model which takes into account edge information. By construction,
the model uses only pairwise interactions and its
energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...
We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
In the paper we present a method to estimate relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from...