Computational image aesthetic evaluation is a computable human aesthetic perception and
judgment realized by machines, which has a significant impact on a variety of applications …

Today, public areas, such as airports, hospitals, city centers are monitored by surveillance
systems. The widespread use of surveillance systems reduces security concerns while …

Conventional salient object detection models cannot differentiate the importance of different
salient objects. Recently, two works have been proposed to detect saliency ranking by …

Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its
wide applications, such as photography, film, television, e-commerce, fashion design, and …

We show that explicit modeling of composition rules benefits image cropping. Image
cropping is considered a promising way to automate aesthetic composition in professional …

For improving image composition and aesthetic quality, most existing methods modulate the
captured images by striking out redundant content near the image borders. However, such …

The latest developments in Artificial Intelligence (AI) are the focal point in increasing the
performance of other technologies and the evolution of Industry 4.0. Considering the …

Aesthetic image cropping is a practical but challenging task which aims at finding the best
crops with the highest aesthetic quality in an image. Recently, many deep learning methods …

Automatic typography is important because it helps designers avoid highly repetitive tasks
and amateur users achieve high-quality textual layout designs. However, there are often …

Image cropping aims to find visually appealing crops in an image. Despite the great
progress made by previous methods, they are weak in capturing the spatial relationship …