The ever-increasing demand for seamless high-definition video streaming, along with the
widespread adoption of the dynamic adaptive streaming over HTTP (DASH) standard, has …

Recently, learning based video compression methods attract increasing attention. However,
the previous works suffer from error propagation due to the accumulation of reconstructed …

Both mobile edge cloud (MEC) and software-defined networking (SDN) are technologies for
next generation mobile networks. In this paper, we propose to simultaneously optimize …

For any video codecs, the coding efficiency highly relies on whether the current signal to be
encoded can find the relevant contexts from the previous reconstructed signals. Traditional …

Video streaming is crucial for AI applications that gather videos from sources to servers for
inference by deep neural nets (DNNs). Unlike traditional video streaming that optimizes …

The past decade has witnessed the great success of deep learning in many disciplines,
especially in computer vision and image processing. However, deep learning-based video …

High-frame-rate (HFR) video is emerging in popular gaming applications to enhance the
smooth experience perceived by end users. However, it is challenging to guarantee the …

Delivering high perceptual quality video over wireless channels is challenging due to the
changing channel quality and the variations in the importance of one source packet to the …

The emerging conditional coding-based neural video codec (NVC) shows superiority over
commonly-used residual coding-based codec and the latest NVC already claims to …

Real-time video streaming is now one of the main applications in all network environments.
Due to the fluctuation of throughput under various network conditions, how to choose a …