With the rapid development and popularity of the Internet, multimedia security has become a
general essential concern. Especially, as manipulation of digital images gets much easier …

With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

This paper presents a method to automatically and efficiently detect face tampering in
videos, and particularly focuses on two recent techniques used to generate hyper-realistic …

In the last few years, several techniques for facial manipulation in videos have been
successfully developed and made available to the masses (ie, FaceSwap, deepfake, etc.) …

Deepfake videos are the product of artificial intelligence or machine-learning applications
that merge, combine, replace and superimpose images and video clips onto a video …

This paper presents a no reference image (NR) quality assessment (IQA) method based on
a deep convolutional neural network (CNN). The CNN takes unpreprocessed image patches …

The upcoming 5G heterogeneous networks (HetNets) have attracted much attention
worldwide. Large amounts of high-velocity data can be transported by using the bandwidth …

With the explosive advancements in smartphone technology, video uploading/downloading
has become a routine part of digital social networking. Video contents contain valuable …

In this paper, we propose a novel copy-move forgery detection scheme that can accurately
localize duplicated regions with a reasonable computational cost. To this end, a new interest …