Adaptive Packet-Level Interleaved FEC for Wireless Priority-Encoded Video Streaming

Razavi, Rouzbeh; Fleury, Martin; Ghanbari, M.

doi:10.1155/2009/982867

Cited by 24 publications

(19 citation statements)

References 27 publications

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“…For EGM-FEC model, the PFR can be evaluated using (18), (19), (20) and (21) for given packet correlation, FEC weights, and certain loss probability. This allows us to characterize the variation of the PFR under different conditions of packet correlation and FEC weights.…”

Section: Simulation Resultsmentioning

confidence: 99%

Robust Network FEC-Embedded Video Transmission Over Error-Prone Wireless Channels

Suhail¹,

Subber²

2012

IJWMN

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Most wireless networks incline to include FEC code (Forward error correction) to recover the corrupted packets without retransmission. The sequential packets transmitted over wireless channel are likely to be infected with various errors like noise or deep fading. In this paper, therefore, a frame-level FEC is added across packets at the application layer to define two analytical packet loss models. At the network layer level, Gilbert Elliot Model (GEM) and Extended Gilbert Model (EGM) are considered to characterize the MPEG-4 packets loss over the bursty error-prone wireless channels. The resultant video quality in terms of playable frame rate (PFR) is estimated at the client end when using the underlying TCP-Friendly protocol. Numerical results point out that the EGM-FEC model introduces a robust measure in estimating the perceived video quality in particular at higher packet loss rate and lower effect of packet correlation. Moreover, it is also found that the GEM-FEC model outperforms EGM-FEC but when ignoring the effect of packet correlation.

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Section: Simulation Resultsmentioning

confidence: 99%

Robust Network FEC-Embedded Video Transmission Over Error-Prone Wireless Channels

Suhail¹,

Subber²

2012

IJWMN

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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%

“…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%

“…In [4], an FEC assignment algorithm using the property of consecutive packet losses is presented. Various ULP algorithms based on the rate distortion model have been proposed for reducing the video quality degradation due to packet losses [8][9][10][11][12]. Adaptive FEC assignment algorithms have been developed for video streaming over the best-effort networks [9][10][11][12][13].…”

Section: Introductionmentioning

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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“…For example, Internet Protocol TV (IPTV) standards recommend [21] no more than 50 ms for the complete network path. For that reason packet-interleaving at the application layer [22] may result in an unacceptable packet delay leading to buffer underflow, if not properly regulated. Data interleaving can also occur [23] as a way of countering error bursts and random errors within entropy-encoded data.…”

Section: Packet Interleavingmentioning

confidence: 99%

Innovations in Video Error Resilience and Concealment

Fleury¹,

Moiron²,

Ghanbari³

2011

RPTSP

Self Cite

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Router buffer overflow and random bit errors have always been a problem in the Internet. The growth in multimedia applications in mobile extensions of the Internet has increased the threat from error bursts, random errors, and packet erasures that are a manifestation of wireless channels. Source-coded error resilience has come to prominence in the H.264/AVC codec standard, and this paper reviews such innovations surrounding this codec. Some innovations are new variants of an existing technique such as datapartitioning and some are entirely new such as the powerful dispersed-mode flexible macroblock ordering. Other techniques, such as reversible variable length coding, were not be transferred to H.264 from earlier codecs and, hence, innovations are proposed to still provide robust entropy coding. Other variants such as adaptive intra-refresh are still being experimented with. When error resilience or other protection methods fail to present an adequate video frame then error concealment can be brought to bear. This paper reviews error concealment which is important to commercial companies as they are able to distinguish their codec from others. The paper considers spatial, temporal and hybrid error concealment methods. Though this paper contains over one hundred references it can only provide a slice through this rich field.

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Adaptive Packet-Level Interleaved FEC for Wireless Priority-Encoded Video Streaming

Cited by 24 publications

References 27 publications

Robust Network FEC-Embedded Video Transmission Over Error-Prone Wireless Channels

Robust Network FEC-Embedded Video Transmission Over Error-Prone Wireless Channels

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

Innovations in Video Error Resilience and Concealment

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