Rapid advances in artificial intelligence (AI) in the last decade have been largely built upon
the wide applications of deep learning (DL). However, the high carbon footprint yielded by …

Telemeetings such as audiovisual conferences or virtual meetings play an increasingly
important role in our professional and private lives. For that reason, system developers and …

Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved
problem of great consequence to the social and streaming media industries that impacts …

Generating high-fidelity human video with specified identities has attracted significant
attention in the content generation community. However, existing techniques struggle to …

Live streaming of segmented videos over the Hypertext Transfer Protocol (HTTP) is
increasingly popular and serves heterogeneous clients by offering each segment in multiple …

The management of remote services, such as remote surgery, remote sensing, or remote
driving, has become increasingly important, especially with the emerging 5G and Beyond …

Many objective video quality assessment (VQA) algorithms include a key step of temporal
pooling of frame-level quality scores. However, less attention has been paid to studying the …

Current per-title encoding schemes encode the same video content at various bitrates and
spatial resolutions to find an optimized bitrate ladder for each video content in Video on …

Video-quality measurement is a critical task in video processing. Nowadays, many
implementations of new encoding standards-such as AV1, VVC, and LCEVC-use deep …

Video super-resolution (VSR) is a critical task for enhancing low-bitrate and low-resolution
videos, particularly in streaming applications. While numerous solutions have been …