In today’s Grids, files are usually managed by Grid data management systems that are superimposed on existing file and storage systems. In this position paper, we analyze this predominant approach and argue that object-based file systems can be an alternative when adapted to the characteristics of a Grid environment. We describe how we are solving the challenge of extending the object-based sto...

In this paper we propose a novel approach to the task of salient object detection. In contrast to previous salient object detectors that are based on a spotlight attention theory, we follow an object-based attention theory and incorporate the notion of an object directly into our saliency measurements. Particularly, we consider proto-objects as units of the analysis, where a protoobject is a co...

In this paper the problem of 3D scene and object classification from depth data is addressed. In contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. In order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. Exploiting the algorithmic information theory, a new def...

Recently developed object-based video coding schemes require the estimation of motion in arbitrary-shaped objects. A quad-tree structured variable size block matching technique is described. The inherent motion is represented by significantly fewer blocks than if conventional fixed size block matching had been used to provide a similar quality prediction.