Improving Quality of Experience by Adaptive Video Streaming with Super Resolution
IEEE INFOCOM 2020-IEEE Conference on Computer Communications(2020)
摘要
Given high-speed mobile Internet access today, audiences are expecting much higher video quality than before. Video service providers have deployed dynamic video bitrate adaptation services to fulfill such user demands. However, legacy video bitrate adaptation techniques are highly dependent on the estimation of dynamic bandwidth, and fail to integrate the video quality enhancement techniques, or consider the heterogeneous computing capabilities of client devices, leading to low quality of experience (QoE) for users. In this paper, we present a super-resolution based adaptive video streaming (SRAVS) framework, which applies a Reinforcement Learning (RL) model for integrating the video super-resolution (VSR) technique with the video streaming strategy. The VSR technique allows clients to download low bitrate video segments, reconstruct and enhance them to high-quality video segments while making …
更多查看译文
关键词
Adaptive bitrate streaming,super-resolution,reinforcement learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络