Image segmentation is one of the most basic tasks in computer vision and remains an initial
step of many applications. In this paper, we focus on interactive image segmentation (IIS) …

An interactive image segmentation algorithm, which accepts user-annotations about a target
object and the background, is proposed in this work. We convert user-annotations into …

Image or video appearance features (eg, color, texture, tone, illumination, and so on) reflect
one's visual perception and direct impression of an image or video. Given a source image …

As well known, fully convolutional network (FCN) becomes the state of the art for semantic
segmentation in deep learning. Currently, new hardware designs for deep learning have …

Scribbles in scribble-based interactive segmentation such as graph-cut are usually assumed
to be perfectly accurate, ie, foreground scribble pixels will never be segmented as …

We propose a new approach to interactive image segmentation based on some properties
of a family of quadratic optimization problems related to dominant sets, a well-known graph …

Rotoscoping (cutting out different characters/objects/layers in raw video footage) is a
ubiquitous task in modern post-production and represents a significant investment in person …

Image segmentation has come a long way since the early days of computer vision, and still
remains a challenging task. Modern variations of the classical (purely bottom-up) approach …

This paper proposes a facial enhancement framework with mask generation for cloud-based
mobile applications. We mathematically analyze and unify the mask generation, as well as …

Abstract Conditional Random Fields (CRFs) are used for diverse tasks, ranging from image
denoising to object recognition. For images, they are commonly defined as a graph with …