331 citations · 2k across the 18 of their papers we have counts for
5 papers · 1 filter
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Yuhang Song, Mai Xu, Jianyi Wang +3
Panoramic video provides immersive and interactive experience by enabling humans to control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in modelin…
Reducing Complexity of HEVC: A Deep Learning Approach
Mai Xu, Tianyi Li, Zulin Wang +3
High Efficiency Video Coding (HEVC) significantly reduces bit-rates over the proceeding H.264 standard but at the expense of extremely high encoding complexity. In HEVC, the quad-t…
Enhancing Quality for HEVC Compressed Videos
Ren Yang, Mai Xu, Tie Liu +2
The latest High Efficiency Video Coding (HEVC) standard has been increasingly applied to generate video streams over the Internet. However, HEVC compressed videos may incur severe…
Assessing Visual Quality of Omnidirectional Videos
Mai Xu, Chen Li, Zulin Wang +2
In contrast with traditional video, omnidirectional video enables spherical viewing direction with support for head-mounted displays, providing an interactive and immersive experie…
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang, Mai Xu, Zulin Wang
Over the past few years, deep neural networks (DNNs) have exhibited great success in predicting the saliency of images. However, there are few works that apply DNNs to predict the…