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Image segmentation evaluation: a survey of methods
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, and as a result, a great number of methods for evaluating …
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer
vision applications. Extensive research has been done in creating many different …
vision applications. Extensive research has been done in creating many different …
Moving object detection in spatial domain using background removal techniques-state-of-art
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 …
a classification of the pixels into either foreground or background. A common approach used …
Towards DeepFake video forensics based on facial textural disparities in multi-color channels
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 …
widely spread on the Internet. Although many state-of-the-art detection methods have been …
Semantic image segmentation and object labeling
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 …
labeling leading to automatic image annotation. Focusing on semantic analysis of images, it …
[كتاب][B] Advances in image and video segmentation
YJ Zhang - 2006 - books.google.com
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 …
extracting information from an image or a sequence of images. In the last 40 years, this field …
Performance measures for video object segmentation and tracking
We propose measures to evaluate quantitatively the performance of video object
segmentation and tracking methods without ground-truth (GT) segmentation maps. The …
segmentation and tracking methods without ground-truth (GT) segmentation maps. The …
A study on various methods used for video summarization and moving object detection for video surveillance applications
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 …
vital role for ensuring safety and security. The surveillance systems are deployed in wide …
[PDF][PDF] Designing Transparent and Autonomous Intelligent Vision Systems.
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 …
computationally efficient way, intelligent vision systems have been developed over the last …
Statistical model-based detector via texture weight map: Application in re-sampling authentication
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 …
Currently, however, little research proposes a statistical model-based test, resulting in that …