Content-Aware Packet-Level Interleaving Method for Video Transmission over Wireless Networks

Choi, Jaehyuk; Shin, Jitae

doi:10.1007/11424505_15

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…If the number of parity packets is higher than the number of erased video packets, the source video packets can be retrieved. In this study, we utilized the wellknown Reed-Solomon (RS) codes [4][5][6][7][8] for the FEC generation.…”

Section: System Modelmentioning

confidence: 99%

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Unequal Loss Protection Using Layer-Based Recovery Rate (ULP-LRR) for Robust Scalable Video Streaming over Wireless Networks

Quan¹,

Ha²,

Ran³

2016

Journal of information and communication convergence engineerin

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Recently, a variety of multimedia services like video streaming over wireless networks have emerged [1]. However, consecutive packet losses and rapid bandwidth changes in wireless environments cause serious video quality degradation.The most promising mechanism for the wireless transmission of H.264 video is scalable video coding (SVC), which is a highly attractive solution to the problems posed by the properties of wireless video transmission. A scalable video can provide spatial, temporal, and quality scalabilities without any additional computational load. A scalable bitstream allows different video qualities and resolutions for different video receivers according to the characteristics of the transmission channel or the decoding capability of the receiver. It is possible to transmit and decode partial bit streams to support video services with lower temporal or spatial resolutions or reduced fidelity while retaining a reconstruction quality that is high relative to the rate of the partial bit streams. Hence, H.264/SVC provides functionalities such as graceful degradation in lossy transmission environments as well as the possibility for bit rate adaptations [2,3]. However, due to the spatial and temporal dependencies among scalable video layers, consecutive packet losses may lead to a serious degradation This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. AbstractScalable video streaming over wireless networks has many challenges. The most significant challenge is related to packet loss.To overcome this problem, in this paper, we propose an unequal loss protection (ULP) method using a new forward error correction (FEC) mechanism for robust scalable video streaming over wireless networks. For an efficient FEC assignment considering video quality, we first introduce a simple and efficient performance metric, the layer-based recovery rate (LRR), for quantifying the unequal error propagation effects of the temporal and quality layers on the basis of packet losses. LRR is based on the unequal importance in both the temporal and the quality layers of a hierarchical scalable video coding structure. Then, the proposed ULP-LRR method assigns an appropriate number of FEC packets on the basis of the LRR to protect the video layers against packet lossy network environments. Compared with conventional ULP algorithms, the proposed ULP-LRR algorithm demonstrates a higher performance for various error-prone wireless channel statuses.

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Section: System Modelmentioning

confidence: 99%

“…There have been some studies on forward error correction (FEC) algorithms, focusing on the error propagation effect on the video quality degradation in both the base and the enhancement layers [4][5][6][7][8][9][10][11][12]. In [4], an FEC assignment algorithm using the property of consecutive packet losses is presented.…”

Section: Introductionmentioning

confidence: 99%

Unequal Loss Protection Using Layer-Based Recovery Rate (ULP-LRR) for Robust Scalable Video Streaming over Wireless Networks

Quan¹,

Ha²,

Ran³

2016

Journal of information and communication convergence engineerin

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“…Content-based dynamic bandwidth allocation can be at the video frame level [2], group of pictures (GoP) level [3], or scene level [4,5]. These types of QoS based video streaming management approaches are still considered essential for live video streaming [20,21].…”

Section: Introductionmentioning

confidence: 99%

Dynamic resource allocation based on online traffic prediction for video streams

Al-Tamimi

Jain

So-In

2010

2010 IEEE 4th International Conference on Internet Multimedia Services Architecture and Application

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Abstract-In this paper, we propose a new dynamic resource allocation (DRA) scheme to support the constantly increasing online video stream traffic, especially high definition (HD) video streams. Our DRA scheme is based on online traffic prediction using seasonal time analysis. Our scheme seeks to provide accurate traffic prediction, to minimize the resource negotiation frequency, and to increase the utilization of the network resources while meeting maximum delay requirements. We validate our approach using various video traces, including our video collection of more than 50 HD video traces. We show through our results that our proposed scheme achieve up to 19.8% improvement in allocating bandwidth for short-length video traces, and up to 25% for long traces compared to the variable step-size adaptive (VSA) algorithm.

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“…To adapt time-varying channel environments, an optimal packet scheduling for rate-distortion was proposed [14][15][16][17]. Also, a rate- There have been several research studies on FEC algorithms regarding the error propagation effect on video quality degradation in both base layer and enhancement layers [5][6][7][8][9]13,14]. In a study by Nafaa et al [5], a FEC assignment algorithm using the property of continuous packet losses is presented.…”

Section: Uep Researchmentioning

confidence: 99%

“…Reed-Solomon (RS) based unequal loss protection algorithm is performed [5][6][7][8][9] in the FEC assigner. Here, we denote the layered unit data (block) in a temporal layer t of a quality layer q as B (t, q).…”

Section: Reed-solomon (Rs) and Raptor Fec Codesmentioning

confidence: 99%

Block Recovery Rate-Based Unequal Error Protection for Three-Screen TV

Ryu

2017

Applied Sciences

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This paper describes a three-screen television system using a block recovery rate (BRR)-based unequal error protection (UEP). The proposed in-home wireless network uses scalable video coding (SVC) and UEP with forward error correction (FEC) for maximizing the quality of service (QoS) over error-prone wireless networks. For efficient FEC packet assignment, this paper proposes a simple and efficient performance metric, a BRR which is defined as a recovery rate of temporal and quality layer from FEC assignment by analyzing the hierarchical prediction structure including the current packet loss. It also explains the SVC layer switching scheme according to network conditions such as packet loss rate (PLR) and available bandwidth (ABW). In the experiments conducted, gains in video quality with the proposed UEP scheme vary from 1 to 3 dB in Y-peak signal-to-noise ratio (PSNR) with corresponding subjective video quality improvements.

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Content-Aware Packet-Level Interleaving Method for Video Transmission over Wireless Networks

Cited by 10 publications

References 9 publications

Unequal Loss Protection Using Layer-Based Recovery Rate (ULP-LRR) for Robust Scalable Video Streaming over Wireless Networks

Unequal Loss Protection Using Layer-Based Recovery Rate (ULP-LRR) for Robust Scalable Video Streaming over Wireless Networks

Dynamic resource allocation based on online traffic prediction for video streams

Block Recovery Rate-Based Unequal Error Protection for Three-Screen TV

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