Joint source/FEC rate selection for quality-optimal MPEG-2 video delivery

Frossard, Pascal; Verscheure, Olivier

doi:10.1109/83.974566

Cited by 110 publications

(71 citation statements)

References 33 publications

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“…While video streaming over burst-loss networks has been studied [4,5], our work differs in that low latency is required, and we use data redundancy in video representation to contain error propagation using reconstructed P-frames and SP-frames during loss events.…”

Section: Related Workmentioning

confidence: 99%

“…Given Gilbert model of parameters p and q, several useful quantities can be computed as done in [4] and others. For i ≥ 0, we denote by P (i) the probability of having at least i consecutive delivered packets following a lost packet, and by p(i) the probability of having exactly i consecutive delivered packets between two lost packets:…”

Section: Some Useful Definitionsmentioning

confidence: 99%

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Redundant representation for network video streaming using reconstructed P-frames and SP-frames

Cheung

Tan

2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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For low-delay streaming of pre-encoded video over lossy networks, fast recovery from decoding errors typically involves use of frequent intra-coded frames, which incurs high bandwidth cost. In this paper, we present a redundant representation of video using a bandwidth-efficient but non-resilient main bitstream, and an additional auxiliary bitstream dedicated to recovery from losses in the main bitstream. In particular, we insert primary SP-frames periodically into the main bitstream, and encode corresponding secondary SP-frames and reconstructed P-frames in the auxiliary stream. When a frame loss occurs, a reconstructed P-frame is first sent to re-synchronize decoder back to normal motion compensation loop, then a secondary SP-frame corresponding to the location of the next pre-inserted primary SP-frame in the main stream is sent thereafter, eliminating coding drift. Results show that proposed method out-performs non-redundant representation of I-frame insertion by up to 11 frames in recovery time, and out-performed redundant representation of only reconstructed P-frames by up to 2.2dB in average PSNR.

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Section: Related Workmentioning

confidence: 99%

Section: Some Useful Definitionsmentioning

confidence: 99%

Redundant representation for network video streaming using reconstructed P-frames and SP-frames

Cheung

Tan

2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…Let us denote the transition probability from state 0 to state 1 by p and from state 1 to state 0 by q. A special case of this model, where the value of the parameter h is taken to be one, is commonly used in the literature to describe packet loss correlations [45][46][47]. With this restriction, the Gilbert model becomes a two state time-discrete Markov model.…”

Section: On the Accuracy Of The Gilbert Modelmentioning

confidence: 99%

On the effects of the packet size distribution on FEC performance

2006

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For multimedia traffic like VBR video, knowledge of the average loss probability is not sufficient to determine the impact of loss on the perceived visual quality and on the possible ways of improving it, for example by forward error correction (FEC) and error concealment. In this paper we investigate how the packet size distribution affects the packet loss process, i.e. the probability of consecutive losses and the distribution of the number of packets lost in a block of packets and the related FEC performance. We present an exact mathematical model for the loss process of an MMPP + MMPP/E r /1/K queue and compare the results of the model to simulations performed with various other packet size distributions (PSDs), among others, the measured PSD from an Internet backbone. The results show that analytical models of the PSD matching the first three moments (mean,variance and skewness) of the empirical PSD can be used to evaluate the performance of FEC in real networks. We conclude that the exponential PSD, though it is not a worst case scenario, is a good approximation for the PSD of today's Internet to evaluate FEC performance. We also conclude that the packet size distribution affects the packet loss process and thus the efficiency of FEC mainly in access networks where a single multimedia stream might affect the multiplexing behavior. We evaluate how the PSD affects the accuracy of the widely used Gilbert model to calculate FEC performance and conclude that the Gilbert model can capture loss correlations better if the CoV of the PSD is high.

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“…In this, depending on the streaming bandwidth, either TCP or UDP sessions are chosen for transmission through the heterogeneous network [47][48][49][50][51][52][53][54][55][56]. To prevent the loss of packets during the transfer, important data segments are selected using the Forward Error Correction (FEC) methodology [57][58][59][60][61][62][63][64][65] and these are retransmitted.…”

Section: Introductionmentioning

confidence: 99%

Transmission Algorithm with QoS Considerations for a Sustainable MPEG Streaming Service

2017

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With the proliferation of heterogeneous networks, there is a need to provide multimedia stream services in a sustainable manner. It is especially critical to maintain the Quality of Service (QoS) standards. Existing multimedia streaming services have been studied to guarantee QoS on the receiving side. QoS has not been ensured due to the fact that the loss of streaming data to be transmitted has not been considered in network conditions. With an algorithm that considers the QoS and can reduce the overhead of the network, it will be possible to reduce the transmission error and wastage of communication network resources. In this paper, we propose a scheme that improves the reliability of multimedia transmissions by using an adaptive algorithm that switches between UDP (User Datagram Protocol) and TCP (Transmission Control Protocol) based on the size of the data. In addition, we present a method that retransmits essential portions of the multimedia data, thus improving transmission efficiency. We simulate an MPEG (Moving Picture Experts Group) stream service and evaluate the performance of the proposed adaptive MPEG stream service.

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Joint source/FEC rate selection for quality-optimal MPEG-2 video delivery

Cited by 110 publications

References 33 publications

Redundant representation for network video streaming using reconstructed P-frames and SP-frames

Redundant representation for network video streaming using reconstructed P-frames and SP-frames

On the effects of the packet size distribution on FEC performance

Transmission Algorithm with QoS Considerations for a Sustainable MPEG Streaming Service

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