Subjective video quality assessment applied to scalable video coding and transmission instability

P2P video streaming combining SVC and MDC In this paper we propose and evaluate a combined SVC-MDC (Scalable Video Coding & Multiple Description Video Coding) video coding scheme for Peer-to-Peer (P2P) video multicast. The proposed scheme is based on a full cooperation established between the peer sites, which contribute their upload capacity during video distribution. The source site splits the video content into many small blocks and assigns each block to a single peer for redistribution. Our solution is implemented in a fully meshed P2P network in which peers are connected to each other via UDP (User Datagram Protocol) links. The video content is encoded by using the Scalable Video Coding (SVC) method. We present a flow control mechanism that allows us to optimize dynamically the overall throughput and to automatically adjust video quality for each peer. Thus, peers with different upload capacity receive different video quality. We also combine the SVC method with Multiple Description Coding (MDC) to alleviate the packet loss problem. We implemented and tested this approach in the PlanetLab infrastructure. The obtained results show that our solution achieves good performance and remarkable video quality in the presence of packet loss.

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Measuring Video Quality on Full Scalability of H.264/AVC Scalable Video Coding

IEICE Transactions on Communications ◽

10.1093/ietcom/e91-b.5.1269 ◽

2008 ◽

Vol E91-B (5) ◽

pp. 1269-1278 ◽

Cited By ~ 21

Author(s):

C. S. KIM ◽

S. H. JIN ◽

D. J. SEO ◽

Y. M. RO

Keyword(s):

Video Coding ◽

Scalable Video Coding ◽

Video Quality ◽

Scalable Video

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Robust Video Transmission for H.264 Scalable Video Coding System over Error-Prone Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.58-60.1554 ◽

2011 ◽

Vol 58-60 ◽

pp. 1554-1559

Author(s):

Chou Chen Wang ◽

Wei Han Chen ◽

Yan Lin Lu ◽

Jia Wei Wu

Keyword(s):

Video Coding ◽

Video Transmission ◽

Scalable Video Coding ◽

Video Quality ◽

Unequal Error Protection ◽

Scalable Video ◽

Coding System ◽

Error Protection ◽

Transmission Scheme ◽

Rs Code

In this paper, we develop a novel robust scheme of two-dimensional unequal error protection (2-D UEP) for the H.264 scalable video coding (SVC) with a combined temporal and quality (SNR) scalability over packet-erasure channel. To avoid the waste of bits and obtain the best rate allocation, we propose a threshold-based UEP (TH-UEP) scheme. The proposed TH-UEP designs a predefined threshold according to the length of packet and the error correcting ability of RS code to achieve the best allocation. In addition, the proposed scheme also derives a simple mathematical model to reduce computational load of the best allocation. Experimental results demonstrate that the proposed H.264 video transmission scheme can provide strong robustness and video quality improvement when compared to other 2-D UEP schemes.

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Adaptive Streaming of Scalable Videos over P2PTV

International Journal of Digital Multimedia Broadcasting ◽

10.1155/2015/283097 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Youssef Lahbabi ◽

El Hassan Ibn Elhaj ◽

Ahmed Hammouch

Keyword(s):

Video Coding ◽

Quality Of Experience ◽

Scalable Video Coding ◽

Video Quality ◽

The Other ◽

Scalable Video ◽

Adaptive Streaming ◽

Network State ◽

Adaptation Mechanisms

In this paper, we propose a new Scalable Video Coding (SVC) quality-adaptive peer-to-peer television (P2PTV) system executed at the peers and at the network. The quality adaptation mechanisms are developed as follows: on one hand, the Layer Level Initialization (LLI) is used for adapting the video quality with the static resources at the peers in order to avoid long startup times. On the other hand, the Layer Level Adjustment (LLA) is invoked periodically to adjust the SVC layer to the fluctuation of the network conditions with the aim of predicting the possible stalls before their occurrence. Our results demonstrate that our mechanisms allow quickly adapting the video quality to various system changes while providing best Quality of Experience (QoE) that matches current resources of the peer devices and instantaneous throughput available at the network state.

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