This article reviews recent computer vision techniques used in the assessment of image
aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …

Copy-move forgery is one of the most common types of tampering for digital images.
Detection methods generally use block-matching approaches, which first divide the image …

Twitter uses machine learning to crop images, where crops are centered around the part
predicted to be the most salient. In fall 2020, Twitter users raised concerns that the …

This article examines ways in which people are seen, recognised, and made to matter by
social media platforms. Drawing on Louise Amoore's notion of 'regimes of recognition', I …

In this paper, we audit saliency cropping algorithms used by Twitter, Google and Apple to
investigate issues pertaining to the male-gaze cropping phenomenon as well as race …

Image cropping aims to find visually appealing crops in an image, which is an important yet
challenging task. In this paper, we consider a specific and practical application: human …

Memory, visual attention and perception play a critical role in the design of visualizations.
The way users observe a visualization is affected by salient stimuli in a scene as well as by …

Templates serve as a good starting point to implement a design (eg banner slide) but it takes
great effort from designers to manually create. In this paper we present Desigen an …

In the first seconds of observation of an image, several visual attention processes are
involved in the identification of the visual targets that pop-out from the scene to our eyes …

Advances in machine vision systems have revolutionized applications such as autonomous
driving, robotic navigation, and augmented reality. Despite substantial progress, challenges …