The Deepfake phenomenon has become very popular nowadays thanks to the possibility to
create incredibly realistic images using deep learning tools, based mainly on ad-hoc …

In this paper we address the problem of producing an enlarged picture from a given digital
image (zooming). We propose a method that tries to take into account information about …

This paper presents a novel and fully automatic technique to estimate depth information
from a single input image. The proposed method is based on a new image classification …

Advances in Artificial Intelligence and Image Processing are changing the way people interacts
with digital images and video. Widespread mobile apps like FACEAPP make use of the …

In the midst of the novel coronavirus (SARS-CoV-2) epidemic, examining reported case
data could lead to biased speculations and conclusions. Indeed, estimation of unreported …

This paper presents a video stabilization algorithm based on the extraction and tracking of
scale invariant feature transform features through video frames. Implementation of SIFT …

… Sebastiano Battiato Sebastiano Battiato received his degree in computer science (summa
cum laude) in 1995 and his Ph.D. in computer science and applied mathematics in 1999. …

Physiological signals are widely used to perform medical assessment for monitoring an
extensive range of pathologies, usually related to cardio-vascular diseases. Among these, both …

Featured Application The described approaches can be used in various applications in the
field of quantitative finance from HFT trading systems to financial portfolio allocation and …

Body condition score (BCS) is considered an important tool for management of dairy cattle.
The feasibility of estimating the BCS from digital images has been demonstrated in recent …