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20162023
most citedReducing Complexity of HEVC: A Deep Learning Approach

331 citations · 2.4k across the 33 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.MM2017

Watching Videos with Certain and Constant Quality: PID-based Quality Control Method

Yuhang Song, Mai Xu, Shengxi Li

In video coding, compressed videos with certain and constant quality can ensure quality of experience (QoE). To this end, we propose in this paper a novel PID-based quality control…

cs.CV2017★ 266 cited

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…

cs.LG2017★ 3 cited

Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning

Yuhang Song, Main Xu, Songyang Zhang +1

Deep learning (DL) advances state-of-the-art reinforcement learning (RL), by incorporating deep neural networks in learning representations from the input to RL. However, the conve…

cs.CV2017★ 331 cited

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…

cs.MM2017★ 219 cited

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…

eess.IV2017★ 166 cited

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…