Applying deep learning to video compression has attracted increasing attention in recent
few years. In this work, we address end-to-end learned video compression with a special …

Deep learning methods are increasingly being applied in the optimisation of video
compression algorithms and can achieve significantly enhanced coding gains, compared to …

The Deep Contextual Video Compression framework (DCVC) utilizes a conditional coding
paradigm, where the context is extracted and employed as a condition for the contextual …

Video delivered over IP networks in real-time applications, which utilize RTP protocol over
unreliable UDP such as videotelephony or live-streaming, is often prone to degradation …

In this paper, the performance of three state-of-the-art video codecs: High Efficiency Video
Coding (HEVC) Test Model (HM), AOMedia Video 1 (AV1) and Versatile Video Coding Test …

Recently, we have observed an exponential increase of user-generated content (UGC)
videos. The distinguished characteristic of UGC videos originates from the video production …

This paper presents a comparative performance evaluation of the newly proposed AV1
Image File Format (AVIF) vs. other state-of-the art image codecs, for natural, synthetic and …

In the latest years great importance and research efforts have been put into safety and
security aspects concerning the vehicular framework. In this connection, maritime …

The video technology scenery has been very vivid over the past years, with novel video
coding technologies introduced that promise improved compression performance over state …

“Smart city” refers to a modern solution to organizing a city's services, using cloud
technologies to collect and evaluate large amounts of data, including data from camera …