With the development of display technologies, image retargeting plays a significant role in
computer vision and pattern recognition communities currently. Image retargeting aims to …

Benefiting from the development of deep learning, researchers have made significant
progress and achieved superior performance in the semantic segmentation of remote …

This paper introduces a novel approach to image denoising that leverages the advantages
of Generative Adversarial Networks (GANs). Specifically, we propose a model that combines …

Salient object detection (SOD) is a challenging task in computer vision. Current SOD
approaches have made significant progress, but they fail in challenging scenarios. This …

Video holds significance in computer graphics applications. Because of the heterogeneous
of digital devices, retargeting videos becomes an essential function to enhance user viewing …

Image retargeting aims to alter the size of the image with attention to the contents. One of the
main obstacles to training deep learning models for image retargeting is the need for a vast …

Image retargeting (IR) aims to fit different display terminals by changing the image aspect
ratio while retaining its important content. The IR methods utilize a saliency map to predict …

We introduce a deep learning-driven framework for creating an adaptably applicable
importance map (A2R-Map) that can be integrated with existing image and video retargeting …

This paper proposed an image retargeting quality assessment. In the proposed method, a
deep convolution network is trained on the pixel displacement patterns of different image …

Nowadays various resizing algorithms are being used to resize the images in a content-
aware fashion. The seam diversion-based image retargeting (SDIR) algorithm improves the …