Wireless Video Transmission: A Distortion-Optimal Approach

Nejati, Negar; Yousefi'zadeh, H.; Jafarkhani, Hamid

doi:10.1109/dcc.2008.49

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…According to [13], the probability of symbol error for the GE chain depends on the average received signal-to-noise ratio, the modulation scheme, the number of signal points in the modulation constellation M, the number of transmit/receive antennas, and the utilized coding technique. The details of calculating the probability of symbol error in each state can be found in [11].…”

Section: Channel Modelmentioning

confidence: 99%

“…Both [9] and [10] used RCPC/CRC and RS product codes for scalable multimedia transmission over wireless channels identified by bit errors and packet erasures. In [11], we propose a low complexity UEP technique to optimally protect a progressive FGS bitstream against both bit errors and packet erasures under the assumption that base layer is received error free.…”

Section: Introductionmentioning

confidence: 99%

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Wireless video transmission: A single layer distortion optimal approach

Nejati

Yousefi'zadeh

Jafarkhani

2009

2009 Data Compression Conference

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In this paper, we introduce an analytical expression for the expected distortion of a single layer encoded video bit-stream. Based on the expected distortion model, we propose a distortionoptimal Unequal Error Protection (UEP) technique to transmit such bit-stream over a wireless tandem channel. The proposed method allocates the total transmission budget unequally to different frames of a video bit-stream in order to protect the bit-stream against both bit errors caused by fading and packet erasures caused by network buffering. We compare this technique with another UEP technique as well as a one-dimension equal length protection technique. The evaluation results for different choices of packet sizes, available budgets, and channel conditions show that the proposed method outperforms the other alternative schemes.

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Section: Channel Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless video transmission: A single layer distortion optimal approach

Nejati

Yousefi'zadeh

Jafarkhani

2009

2009 Data Compression Conference

Self Cite

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“…A typical JSCC coder is designed to apply FEC to source coded data and provide unequal error protection (UEP) of data streams [9][10][11][12][13][14][15][16][17]. Unequal importance streams can be formed using available coding tools or different packetization schemes.…”

Section: Introductionmentioning

confidence: 99%

“…Scalability was used in [15,16], while different packetization schemes were used in [13,14,17]. The FEC is accomplished by employing either block codes or convolution codes.…”

Section: Introductionmentioning

confidence: 99%

“…To this end, an analytical ratedistortion function is usually proposed and optimized for the best objective quality of the decoded video [11,12,[14][15][16]. However, this requires high processing power and a long delay from the encoder [4].This may be undesirable for mobile hand-held devices which are normally constrained in processing power.…”

Section: Introductionmentioning

confidence: 99%

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Joint Source and Channel Coding for Real Time H.264 Coded Video Transmission Using Mobile Hand-held Devices

Azni¹,

Pyndiah²,

Mokrani³

et al. 2009

IETE J Res

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This paper proposes a joint source channel coding scheme for robust real time transmission of H.264/AVC coded video over noisy channels and under bandwidth limitations. A new method of rate adaptation to the allowed maximum channel transmission rate which does not assume source rate control in the source coder has been proposed. This keeps system complexity reasonable and improves the perceived decoded video quality. These are desirable features for two-way video-conferencing using mobile hand-held devices. Data partitioning is used to code the source data. Then, unequal error protection is applied at the network abstraction layer. For robustness, we use joint optimization of forward error correction at the transmitter and error concealment at the source decoder. A low complexity and efficient algorithm of channel code rate allocation to the network abstraction layer units is then developed. Simulation results show that the perceived decoded video quality is improved for small levels of signal-to-noise ratio.

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王朝晖¹

2012

HJWC

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Topology change and nodes move in Ad Hoc networks leads to regular interruption of the path, making Ad Hoc network channel bit error rate and transmission packet loss rate very high. This brings a new challenge for video transmission. As a result, research on video coding and transmission methods that suitable for Ad Hoc networks has become a hot spot today. On the basis of transmission characteristics of Ad Hoc networks, it starts with video encoding, video transmission and the receiver all together, gives a systematic introduction to the current research status and main methods of video transmission in Ad Hoc networks, moreover forecasts the future of the key technologies and new mechanisms which are suitable for video transmission in Ad Hoc networks.

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Wireless Video Transmission: A Distortion-Optimal Approach

Cited by 3 publications

References 17 publications

Wireless video transmission: A single layer distortion optimal approach

Wireless video transmission: A single layer distortion optimal approach

Joint Source and Channel Coding for Real Time H.264 Coded Video Transmission Using Mobile Hand-held Devices

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