Group-of-pictures-based unequal error protection for scalable video coding extension of H.264/AVC

Xu, Jun; Yang, Xiaokang; Zheng, Shibao; Li, Shangyuan

doi:10.1117/1.3152774

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Then, a decreasing amount of FEC is assigned to each layer as previously sorted, also considering the residual loss probability in each layer after FEC decoding. However, both [8] and [9] require to know the packet loss probability at the network level which might be difficult to determine and it might be strongly time variant, particularly in wireless networks. For scalable video transmission over burst-error channels, an adaptive UEP and packet size assignment scheme is proposed in [10].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, within the same layer, decoding dependency can be used to determine data priority [5], so that error propagation in case of data loss is mitigated. The work in [8] suggests an analytical formulation of an FEC-based UEP assignment problem for video transmission relying on SNR scalability over a wireless packet-erasure channel. However, for complexity reasons, the proposed solution is based on a heuristic algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks

Fiandrotti¹,

Gallucci²,

Masala³

et al. 2010

Signal Processing: Image Communication

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a b s t r a c tIn this work a low complexity traffic prioritization strategy to transmit H.264 scalable video coding (SVC) video over 802.11e wireless networks is presented (the approach applies to any DiffServ-like network). The distinguishing feature of the proposed strategy is the ability to adapt the amount of error protection to the changing characteristics of the video content. First, we estimate the perceptual impact of data losses in the different types of enhancement layers, i.e., temporal or spatial, for a large set of H.264/SVC videos. The experiments show that perceptual impairments are highly correlated with the level of motion activity in the video sequence. Then, we propose a content-adaptive traffic prioritization strategy based on the identification of the most important parts of the enhancement layers of the video sequence by means of a low complexity macroblock analysis process. The prioritization algorithm is tested by simulating a realistic 802.11e ad hoc network scenario. Simulation results show that the proposed traffic prioritization strategy consistently outperforms, particularly for dynamic video sequences, fixed a priori approaches, as well as a traditional FEC-based UEP strategy.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks

Fiandrotti¹,

Gallucci²,

Masala³

et al. 2010

Signal Processing: Image Communication

View full text Add to dashboard Cite

show abstract

“…With hierarchical video coding, the SVC can adapt to varying terminal capabilities and needs of the end user, and provides a graceful degradation when the network conditions change. However, the frame dependency is also changed when SVC is adopted, it is no longer a simple onedimensional frame-by-frame dependency in time order [15], this results in the time-order sliding-window FEC not being optimal.…”

Section: Introductionmentioning

confidence: 99%

Sliding-Window Forward Error Correction Based on Reference Order for Real-Time Video Streaming

Wang¹,

Si²,

He³

2022

IEEE Access

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In real-time video streaming, data packets are transported over the network from a transmitter to a receiver. The quality of the received video fluctuates as the network conditions change, and it can degrade substantially when there is considerable packet loss. Forward error correction (FEC) techniques can be used to recover lost packets by incorporating redundant data. Conventional FEC schemes do not work well when scalable video coding (SVC) is adopted. In this paper, we propose a novel FEC scheme that overcomes the drawbacks of these schemes by considering the reference picture structure of SVC and weighting the reference pictures more when FEC redundancy is applied. The experimental results show that the proposed FEC scheme outperforms conventional FEC schemes.INDEX TERMS Forward error correction, real-time video streaming, scalable video coding, error correction codes, reference order.

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“…While several schemes for video streaming over wireless channels have been introduced in the literature [14][15][16][17][18][19][20], the bulk of these scheme aim at the optimization of the performance of the source and/or channel encoders, with little to no considerations of the networking aspects. Many of these studies are concerned with the optimization of the effective throughput of the channel, without considering the impact of source and channel coding on the transport delay and delay jitter.…”

Section: Introductionmentioning

confidence: 99%

An occupancy-based and channel-aware multi-level adaptive scheme for video communications over wireless channels

Mukhtar

Hassan

Landolsi

2011

J Wireless Com Network

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Video streaming over wireless channels is challenged with the time-varying nature of the underlying channels and the stringent requirements of video applications. In particular, video streaming has strict requirements on bandwidth, delay, and loss rate while wireless channels are dynamic and error-prone by nature. In this article, we propose a novel multilevel adaptive scheme that is designed to mitigate the challenges facing video streaming over unreliable channels. This is done while preventing potential playback discontinuities and guaranteeing a graceful degradation of the rendered video quality. Scalable video coding, adaptive modulation, and adaptive channel coding are integrated to achieve the objectives of the proposed scheme. If adaptive modulation and channel coding are not enough to guarantee the on-time delivery of decodable video frames, we adopt scalable coding. Simulation results show that the proposed adaptive scheme achieves an improvement of about 2.5 dB in the peak signal-to-noise ratio over a nonadaptive one. In addition, the proposed scheme reduces the number of starvation instances by 50 and 90% in the cases of Stop-and-Wait and Go-Back-N automatic repeat requests, respectively.

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Group-of-pictures-based unequal error protection for scalable video coding extension of H.264/AVC

Cited by 6 publications

References 9 publications

Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks

Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks

Sliding-Window Forward Error Correction Based on Reference Order for Real-Time Video Streaming

An occupancy-based and channel-aware multi-level adaptive scheme for video communications over wireless channels

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