Adaptive streaming of multi-view video over P2P networks

Savas, S. Sedef; Gurler, C. Goktug; Tekalp, A.M.; Ekmekcioǧlu, Erhan; Kondoz, A.M.

doi:10.1016/j.image.2012.02.013

Cited by 7 publications

(2 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are two main methods to encode multiview video [26]: (1) dependent encoding using MVC or multiview coding extension of H.265/High Efficiency Video Coding (HEVC) [27]; (2) simulcast encoding in which each view is independently encoded using AVC, SVC or HEVC [28].…”

Section: Multiview Video Streamingmentioning

confidence: 99%

MVP2P: Layer-dependency-aware live MVC video streaming over peer-to-peer networks

Liu

Murray

Lee

et al. 2018

Signal Processing: Image Communication

View full text Add to dashboard Cite

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 optimise the utilisation 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.

show abstract

Section: Multiview Video Streamingmentioning

confidence: 99%

MVP2P: Layer-dependency-aware live MVC video streaming over peer-to-peer networks

Liu

Murray

Lee

et al. 2018

Signal Processing: Image Communication

View full text Add to dashboard Cite

show abstract

“…Even though streaming applications are nowadays commonplace, and the technology involved has greatly advanced in the past few years [13,14], in a wireless network, it is difficult to meet the inherent requirement of continuous delivery necessary for an uninterrupted presentation of the content, as the nodes move freely and independently in all directions-thus, the channel conditions of the links and the link themselves are unreliable and erratic-and individual nodes may connect and disconnect asynchronously [15].…”

Section: Introductionmentioning

confidence: 99%

Rate-distortion-optimized multi-view streaming in wireless environment using network coding

Greco¹,

Nemoianu

Cagnazzo

et al. 2016

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

Multi-view video streaming is an emerging video paradigm that enables new interactive services, such as 3D video, free viewpoint television, and immersive teleconferencing. Because of the high bandwidth cost they come with, multi-view streaming applications can greatly benefit from the use of network coding, in particular in transmission scenarios such as wireless network, where the channels have limited capacity and are affected by losses. In this paper, we address the topic of cooperative streaming of multi-view video content, wherein users who recently acquired the content can contribute parts of it to their neighbors by providing linear combinations of the video packets. We propose a novel method for selection and network encoding of the transmitted frames based on the users' preferences for the different views and the rate-distortion properties of the stream. Using network coding enables the users to retrieve the content in a faster and more reliable manner and without the need for coordination among the senders. Our experimental results prove that our preference-based approach provides a high-quality decoding even when the uplink capacity of each node is only a small fraction of the rate of the stream.

show abstract