Internet Media Streaming Using Network Coding and Path Diversity

Nguyen, Dong; Tran, Tuan; Pham, Tuan; Le, Viet

doi:10.1109/glocom.2008.ecp.332

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…While most NC research has been carried out in the field of information theory, its potential benefits for media streaming applications have spurred a lot of interest in the multimedia community. Most existing works based on NC to design a robust video transmission system, focus on the application of random linear network coding [8] [9] [10]. Nguyen et al [8] proposed a scheme on multipath transmit joint network coding to meet the demand of high bandwidth for video transmission, but the best strategy proposed does not take into account optimization and the variable quality of service.…”

Section: Related Workmentioning

confidence: 99%

“…Most existing works based on NC to design a robust video transmission system, focus on the application of random linear network coding [8] [9] [10]. Nguyen et al [8] proposed a scheme on multipath transmit joint network coding to meet the demand of high bandwidth for video transmission, but the best strategy proposed does not take into account optimization and the variable quality of service. Hulya Seferoglu [11] presented an opportunity network coding mechanism which is exactly the same as in the original COPE for video transmission in the wireless network.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

R^2NC: Redundant and Random Network Coding for H.264/SVC Transmission

Jing

Zhang

Tang

et al. 2011

2011 14th International Conference on Network-Based Information Systems

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Abstract-In this paper we are interested in improving the performance of constructive network coding schemes for video transmission over packet lossy networks. A novel unequal packet loss protection scheme 2 NC based on low-triangular global coding matrix with ladder-shaped partition will be presented, which combines redundant and random network coding for robust H.264/SVC video transmission. Firstly, the error-correcting capabilities of redundant network coding make our scheme resilient to loss. Secondly, the implementation of random network coding at the intermediate nodes with multiple input links can reduce the cost of network bandwidth, thus reducing the endto-end delay for video transmission. Thirdly, the low-triangular global coding matrix with ladder-shaped partition is maintained throughout 2 NC process to provide unequal erasure protection for H.264/SVC priority layers. The redundant network coding avoids the retransmission of lost packets and improves errorcorrecting capabilities of lost packets. Based only on the knowledge of the loss rates on the output links, the source node and intermediate nodes can make decisions for redundant network coding and random network coding (i.e.,how much redundancy to add at this node). However, the redundancy caused by redundant network coding makes the network load increases; in order to improve network throughput, we perform random network coding at the intermediate nodes. Our approach is grounded on the overall distortion of reconstructed video minimization by optimizing the amount of redundancy assigned to each layer. Experimental results are shown to demonstrate the significant improvement of H.264/SVC video reconstruction quality with 2 NC over packet lossy networks. Index Terms-Network coding, scalable video coding, unequal error protection.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

R^2NC: Redundant and Random Network Coding for H.264/SVC Transmission

Jing

Zhang

Tang

et al. 2011

2011 14th International Conference on Network-Based Information Systems

View full text Add to dashboard Cite

show abstract

“…Most existing works based on network coding are designed for robust video transmission system and focus on the application of random linear network coding (RLNC) [14][15][16]. Nguyen et al [14] proposed a scheme on multipath transmit with network coding to meet the demand of high bandwidth for video transmission, but the best strategy proposed does not take into account optimization [17] and the variable quality of service. In order to reduce transmission delay caused by network coding for video streaming [18], proposed an effective allocation algorithm for nodes to perform network coding in an overlay network, which minimize the transmission delay for video streaming.…”

Section: Existing Work With Network Coding For Video Transmissionmentioning

confidence: 99%

Joint Redundant and Random Network Coding for Robust Video Transmission over Lossy Networks

Zhang

Jing

Tang

et al. 2012

Mobile Information Systems

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Abstract. In this paper a novel unequal packet loss protection scheme R2NC based on low-triangular global coding matrix with ladder-shaped partition is presented, which combines redundant and random network coding for robust H.264/SVC video transmission. Firstly, the error-correcting capabilities of redundant network coding make our scheme resilient to loss. Secondly, the implementation of random network coding at the intermediate nodes with multiple input links can reduce the cost of network bandwidth, thus reducing the end-to-end delay for video transmission. Thirdly, the low-triangular global coding matrix with ladder-shaped partition is maintained throughout the R2NC processes to reduce the impact of global coding matrix's rank deficiency on video transmission and provide unequal erasure protection for H.264/SVC priority layers. The redundant network coding avoids the retransmission of lost packets and improves error-correcting capabilities of lost packets. Based only on the knowledge of the packet loss rates on the output links, the source node and intermediate nodes can make decisions for redundant network coding and random network coding (i.e., how much redundancy to add at this node). However, the redundancy caused by redundant network coding makes the network load increases. In order to improve network throughput, we performed random network coding at the intermediate nodes. Our approach is grounded on the overall distortion of reconstructed video minimization by optimizing the amount of redundancy assigned to each layer. The convex optimization model is constructed under the constraint of network coding and scalable video coding. Experimental results are shown to demonstrate the significant improvement of H.264/SVC video reconstruction quality with R2NC over packet lossy networks.

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