Research| Digital Media and Intelligent Network Laboratory

Video Coding

We study mainstream video coding standards including H.266/VVC, ECM, and the next-generation AVS. In recent years we have improved key coding tools such as affine motion, geometric partitioning, and template matching merge, while building CNN-based fast mode decision and in-loop filtering to reduce complexity, developing perception-driven rate control (panoramic video, transform-coefficient modeling), and exploring learned image/video coding for machines — balancing coding efficiency, complexity, and intelligent applications.

Vision and Affective-Interactive Robotics

In the digital era, a team is driving the development of computer vision technology with relentless effort and innovative spirit, bringing unprecedented transformation to the health-care field—this is the Vision Group of our DMIN Laboratory. Standing at the frontier where technology meets humanity, we are dedicated to transforming cutting-edge technology into warm, people-centered services, letting the light of technology illuminate every life corner in need of care.

Network Communications

Our research focuses on media streaming and network protocol optimization. We are committed to addressing challenges in multimedia transmission and providing better visual and auditory experiences. We explore how to improve transport protocols, routing algorithms, and congestion control strategies to enhance network stability, throughput, and responsiveness.

Medical Image Processing

In the field of medical image processing, deep learning-based methods have attracted increasing attention. We have conducted in-depth research on a series of diseases including intracerebral hemorrhage. Our solutions can not only relieve doctors' visual fatigue but also improve diagnostic accuracy.