Title
A cloud-assisted DASH-based Scalable Interactive Multiview Video Streaming framework
Abstract
Interactive multiview video streaming (IMVS) allows viewers to periodically switch viewpoint. Its user experience can be further enhanced by creating virtual views from neighboring coded views using view synthesis techniques. Dynamic adaptive streaming over HTTP (DASH) is a new standard that can adjust the quality of video streaming according to the network condition. In this paper, we propose an improved DASH-based IMVS scheme over wireless networks. The main contributions are twofold. First, our scheme allows virtual views to be generated at either the cloud-based server or the client, and can adaptively select the optimal approach based on the network condition and the cost of the cloud. Second, scalable video coding is used in our system. Simulations with the NS3 tool demonstrate the advantage of our proposed scheme over the existing approach with client-based view synthesis and single-layer video coding.
Year
DOI
Venue
2015
10.1109/PCS.2015.7170079
Picture Coding Symposium
Keywords
Field
DocType
DASH, IMVS, FVV, Rate adaptation, QoE, Cross-Layer Design, 3D video
Wireless network,Computer science,Server,Multiview Video Coding,View synthesis,Real-time computing,Dynamic Adaptive Streaming over HTTP,Cloud computing,Scalability,Scalable Video Coding
Conference
Citations 
PageRank 
References 
5
0.38
12
Authors
7
Name
Order
Citations
PageRank
Mincheng Zhao1482.60
Xiangyang Gong216123.01
Jie Liang370780.89
Jia Guo4132.60
Wendong Wang582172.69
Xirong Que614215.76
Shiduan Cheng781787.36