Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
The lossless entropy coding used in many image coding schemes often is overlooked as most research is based around the lossy stages of image compression. This paper examines the r...
A method for efficiently selecting the operating modes within a block-based multi-mode video compression system is described. For a given image region, the optimum combination of ...
Thomas Wiegand, Michael Lightstone, T. George Camp...
Data sources for data integration often come with spurious schema definitions such as undefined foreign key constraints. Such metadata are important for querying the database and ...
Jana Bauckmann, Ulf Leser, Felix Naumann, Veroniqu...