Internet-enabled smartphones and ultra-wide displays are transforming a variety of visual
apps spanning from on-demand movies and 360° videos to video-conferencing and live …

Abstract Recently, super-resolution (SR) techniques based on deep learning have taken
more and more attention, aiming to improve the images and videos resolutions. Most of the …

The digital age has brought a significant increase in video traffic. This traffic growth, driven
by rapid internet advancements and a surge in multimedia applications, presents both …

With the advent of smart devices that support 4K and 8K resolution, Single Image Super
Resolution (SISR) has become an important computer vision problem. However, most super …

With the rapid development of AI hardware accelerators, applying deep learning-based
algorithms to solve various low-level vision tasks on mobile devices has gradually become …

Wearable, embedded, and IoT devices are a centrepiece of many ubiquitous computing
applications, such as fitness tracking, health monitoring, home security and voice assistants …

Augmented reality (AR) underpins many emerging mobile applications, but it increasingly
requires more computation power for better machine understanding and user experience …

With the advancement of multimedia technology and wireless networks, there is a growing
demand for high-quality video streaming. Delivering stable video streaming in extremely …

A computer vision system using low-resolution image sensors can provide intelligent
services (eg, activity recognition) but preserve unnecessary visual privacy information from …

360-degree video streaming has gained tremendous growth over the past years. However,
the delivery of 360-degree videos over the Internet still suffers from the scarcity of network …