In this paper, we introduce the proposed methods in both saliency detection and retargeting.
Due to the rapid growth of machine learning tools and specifically deep networks in various computer vision and image processing areas, application of Convolutional Neural Networks for watermarking have recently emerged.
In this paper, we utilize an instance segmentation neural network to obtain a class mask for separately filtering the background and foreground of an image.
By increasing the volume of telemedicine information, the need for medical image compression has become more important.
In this paper a saliency map is proposed, based on image context detection using semantic segmentation as a high level feature.