In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Graphical components information extraction is a crucial step in the chart recognition and understanding process. However, existing methods of information extraction from chart im...
We address the problem of an efficient image-space reconstruction of adaptively sampled scenes in the context of point-based and line-based graphics. The imagespace reconstruction...
Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalc...
Rate-distortion (RD) optimized intra-prediction mode selection can lead to significant improvement in coding efficiency in intraframe encoding. However, it would incur considerabl...
This paper presents a method for modelling graphics scenes consisting of multiple volumetric objects. A twolevel hierarchical representation is employed, which enables the reducti...