Paper Info
Title
MVP2P: Layer-Dependency-Aware Live MVC Video Streaming over Peer-to-Peer Networks.
Abstract
Multiview video supports observing a scene from different viewpoints. The Joint Video Team (JVT) developed H.264/MVC to enhance the compression efficiency for multiview video, however, MVC encoded multiview video (MVC video) still requires high bitrates for transmission. This paper investigates live MVC video streaming over Peer-to-Peer (P2P) networks. The goal is to minimize the server bandwidth costs whist ensuring high streaming quality to peers. MVC employs intra-view and inter-view prediction structures, which leads to a complicated layer dependency relationship. As the peers’ outbound bandwidth is shared while supplying all the MVC video layers, the bandwidth allocation to one MVC layer affects the available outbound bandwidth of the other layers. To optimize the utilization of the peers’ outbound bandwidth for providing video layers, a maximum flow based model is proposed which considers the MVC video layer dependency and the layer supplying relationship between peers. Based on the model, a layer dependency aware live MVC video streaming method over a BitTorrent-like P2P network is proposed, named MVP2P. The key components of MVP2P include a chunk scheduling strategy and a peer selection strategy for receiving peers, and a bandwidth scheduling algorithm for supplying peers. To evaluate the efficiency of the proposed solution, MVP2P is compared with existing methods considering the constraints of peer bandwidth, peer numbers, view switching rates, and peer churns. The test results show that MVP2P significantly outperforms the existing methods.
Year
DOI
Venue
2018
10.1016/j.image.2018.04.004
Signal Processing: Image Communication
Keywords
DocType
Volume
MVC video streaming,Peer-to-peer streaming,Layered video streaming,Live video streaming,Multiview video coding,Free-viewpoint video
Journal
65
ISSN
Citations 
PageRank 
0923-5965
0
0.34
References 
Authors
24
5
Name
Order
Citations
PageRank
Zhao Liu12510.73
Niall Murray210219.17
Brian Lee313020.32
enda fallon403.04
Yuansong Qiao515225.49