Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
This paper presents a new graph cut-based multiple active contour algorithm to detect optimal boundaries and regions in images without initial contours and seed points. The task of...
This paper addresses two image sequence analysis issues under a common framework. These tasks are, "rst, motion-based segmentation and second, updating and tracking over time...
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Geometric rearrangement of images includes operations
such as image retargeting, inpainting, or object rearrangement.
Each such operation can be characterized by a shiftmap:
the...