Image segmentation is a prerequisite for image processing. There are many methods for
image segmentation, and as a result, a great number of methods for evaluating …

Image segmentation is an important processing step in many image, video and computer
vision applications. Extensive research has been done in creating many different …

Identifying moving objects is a critical task for many computer vision applications; it provides
a classification of the pixels into either foreground or background. A common approach used …

In this paper, we present a framework for simultaneous image segmentation and object
labeling leading to automatic image annotation. Focusing on semantic analysis of images, it …

With the development of deep learning, AI-synthesized techniques, such as DeepFake, are
widely spread on the Internet. Although many state-of-the-art detection methods have been …

Image and video segmentation is one of the most critical tasks of image and video analysis:
extracting information from an image or a sequence of images. In the last 40 years, this field …

We propose measures to evaluate quantitatively the performance of video object
segmentation and tracking methods without ground-truth (GT) segmentation maps. The …

With the advancement in digital video technology, video surveillance has been playing its
vital role for ensuring safety and security. The surveillance systems are deployed in wide …

The problem of authenticating a re-sampled image has been investigated over many years.
Currently, however, little research proposes a statistical model-based test, resulting in that …

To process vast amounts of visual data such as images, videos, etc. in an automatic and
computationally efficient way, intelligent vision systems have been developed over the last …