QoE-driven optimization for cloud-assisted DASH-based scalable interactive multiview video streaming over wireless network

作者：

Highlights：

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• A Cloud-assisted DASH-based Scalable Interactive Multiview Video Streaming system is proposed.

• An adaptive view synthesis method is designed for the CDS-IMVS client.

• A cross-layer system is developed to improve QoE of multiple CDS-IMVS users in LTE network.

• A cache management method is designed to reduce the cloud cost based on the SVC structure.

• We design a cross-layer bitrate scheduling method by considering the media bitrate and wireless adaptation.

摘要

•A Cloud-assisted DASH-based Scalable Interactive Multiview Video Streaming system is proposed.•An adaptive view synthesis method is designed for the CDS-IMVS client.•A cross-layer system is developed to improve QoE of multiple CDS-IMVS users in LTE network.•A cache management method is designed to reduce the cloud cost based on the SVC structure.•We design a cross-layer bitrate scheduling method by considering the media bitrate and wireless adaptation.

论文关键词：Dynamic adaptive streaming over HTTP (DASH),Interactive multiview video streaming (IMVS),Quality of experience (QoE),Cross-layer design,Resource allocation

论文评审过程：Received 6 December 2016, Revised 24 May 2017, Accepted 28 May 2017, Available online 19 June 2017, Version of Record 19 June 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.05.015