Abstract Distributed Video Coding is becoming more and more popular among the research
community, because of its interesting theoretical contributions and because there are still …

Deep learning is a new era of machine learning research, where many layers of information
processing stages are exploited for unsupervised feature learning. Using multiple levels of …

In recent years, practical Wyner-Ziv (WZ) video coding solutions have been proposed with
promising results. Most of the solutions available in the literature model the correlation noise …

Distributed video coding (DVC) is a relatively new video coding architecture originated from
two fundamental theorems namely, Slepian–Wolf and Wyner–Ziv. Recent research …

Wyner-Ziv (WZ) video coding-a particular case of distributed video coding (DVC)-is a new
video coding paradigm based on two major Information Theory results: the Slepian-Wolf and …

Wyner-Ziv (WZ) video coding is a particular case of distributed video coding, which is a
recent video coding paradigm based on the Slepian-Wolf and WZ theorems. Contrary to …

Optical flow networks have been widely utilized for video saliency detection (VSD) due to
their effective performance in capturing the motion of objects. However, the use of optical …

Wyner–Ziv (WZ) video coding—a particular case of distributed video coding (DVC)—is a
new video coding paradigm based on two major Information Theory results: the Slepian …

This paper is dedicated to video coding based on a compressive sensing (CS) framework. In
CS, it is assumed that if a video sequence is sparse in some transform domain, then it could …

Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are
exploited, partially or totally at the decoder. The side information represents a noisy version …