State-of-the-art research on MRFs, successful MRF applications, and advanced topics for
future study. This volume demonstrates the power of the Markov random field (MRF) in …

Abstract Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised
photometric segmentation of video sequences. MHVS segments arbitrarily long video …

The ability to generate intermediate frames between two given images in a video sequence
is an essential task for video restoration and video post-processing. In addition, restoration …

High-quality depth recovery from RGB-D data has received increasingly more attention in
recent years due to their wide applications from depth-based image rendering to three …

Depth maps have been widely used in many real world applications, such as human-
computer interaction and virtual reality. However, due to the limitation of current depth …

Common methods for interactive texture segmentation rely on probability maps based on
low dimensional features such as eg intensity or color, that are usually modeled using basic …

We describe an approach for segmenting a moving image into regions that correspond to
surfaces in the scene that are partially surrounded by the medium. It integrates both …

Non-local dependency is a very important prior for many image segmentation tasks.
Generally, convolutional operations are building blocks that process one local …

We present a novel method for on-line, joint object tracking and segmentation in a
monocular video captured by a possibly moving camera. Our goal is to integrate tracking …

We present a novel semi-automatic method for segmenting neural processes in large, highly
anisotropic EM (electron microscopy) image stacks. Our method takes advantage of sparse …