Immersive telepresence has the potential to revolutionize remote communication by offering
a highly interactive and engaging user experience. However, state-of-the-art exchanges …

Packet loss during video conferencing often leads to poor quality and video freezing.
Attempting to retransmit lost packets is often impractical due to the need for real-time …

User experience in real-time video applications requires continuously adjusting video
encoding bitrates to match available network capacity, which hinges on accurate bandwidth …

Point cloud video (PCV) offers watching experiences in photorealistic 3D scenes with six-
degree-of-freedom (6-DoF), enabling a variety of VR and AR applications. The user's Field …

Because of reinforcement learning's (RL) ability to automatically create more adaptive
controlling logics beyond the hand-crafted heuristics, numerous effort has been made to …

In real-time video communication, retransmitting lost packets over high-latency networks is
not viable due to strict latency requirements. To counter packet losses without …

Rate control algorithms are at the heart of video conferencing platforms, determining target
bitrates that match dynamic network characteristics for high quality. Recent data-driven …

With the exponential growth of video traffic, traditional video streaming systems are
approaching their limits in compression efficiency and communication capacity. To further …

Deep reinforcement learning (RL) based rate adaptation has been popular in the past few
years. Unlike the handcrafted rate adaptation which requires manual effort from network …

Real-time video communication is becoming more and more important. However, packet
loss is prevalent and resending packets, especially in long-latency networks, causes visual …