Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
We present a new semi-automatic segmentation tool, which is motivated by the Intelligent Scissors algorithm [1], but which uses a modified concept of user-interaction. This new in...
Dirk Farin, Magnus Pfeffer, Peter H. N. de With, W...
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
This paper presents an approach for image and video scaling using multirate signal processing. The main objective is to scale images with arbitrary rational scaling ratio without ...
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...