Error resilience performance evaluation of H.264 I-frame and JPWL for wireless image transmission

Alajel, Khalid Mohamed; Wang, Xiang; Leis, John

doi:10.1109/icspcs.2010.5709766

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Recently the International Organization for Standardization (ISO), jointly with the International Electrotechnical Commission (IEC) and the International Telecommunications Union (ITU), added new profiles, to the JPEG 2000 standard, for broadcast video contribution Many researchers have investigated optimal methods for the protection of intra-coded video streams. For instance, JPEG 2000 for wireless (JPWL) [14] has been standardized for this purpose, and several works have shown its good performance either when used on IP networks [15][16][17] or directly over the physical layer [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Adaptive error protection coding for wireless transmission of motion JPEG 2000 video

Baruffa

Frescura

2016

J Image Video Proc.

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The delivery of video over wireless, error-prone transmission channels requires careful allocation of channel and source code rates, given the available bandwidth. In this paper, we present a theoretical framework to find an optimal joint channel and source code rate allocation, by considering an intra-coded video compression standard such as Motion JPEG 2000 and an error-prone wireless transmission channel. Lagrangian optimization is used to find the optimal code rate allocation, from a PSNR perspective, starting from commonly available source coding outputs, such as intermediate rate-distortion traces. The algorithm is simple and adaptive both on the available bandwidth and on the transmission channel conditions, and it has a low computational complexity. Simulation results, using Reed-Solomon (R-S) coding, show that the achieved performance, in terms of PSNR and MSSIM, is comparable with that of other methods reported in literature. In addition, a simplified and sub-optimal expression for determining the channel code assignment is also provided.

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Section: Introductionmentioning

confidence: 99%

Adaptive error protection coding for wireless transmission of motion JPEG 2000 video

Baruffa

Frescura

2016

J Image Video Proc.

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“…The objective of fixed-point refinement during the design process is to make sure that chosen data types are precise enough to achieve the expected quality of computation while minimizing the cost constraint. In the recent years, several application scenarios resilient to errors of various kinds are being explored in the context of approximate computing [1], [2]. The errors with fixed-point data types are classified into two types arising from finite precision on one hand and finite dynamic range on the other.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Power Spectral Density for Scalable System-Level Accuracy Evaluation

Barrois¹,

Parashar²,

Sentieys³

2016

Proceedings of the 2016 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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The choice of fixed-point word-lengths critically impacts the system performance by impacting the quality of computation, its energy, speed and area. Making a good choice of fixed-point word-length generally requires solving an NP-hard problem by exploring a vast search space. Therefore, the entire fixed-point refinement process becomes critically dependent on evaluating the effects of accuracy degradation. In this paper, a novel technique for the system-level evaluation of fixed-point systems, which is more scalable and that renders better accuracy, is proposed. This technique makes use of the information hidden in the power-spectral density of quantization noises. It is shown to be very effective in systems consisting of more than one frequency sensitive components. Compared to state-of-the-art hierarchical methods that are agnostic to the quantization noise spectrum, we show that the proposed approach is 5× to 500× more accurate on some representative signal processing kernels.

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Error correction for video streaming to enhance MPEG performance quality

Taha

Maiyza

2015

2015 11th International Conference on Innovations in Information Technology (IIT)

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Error resilience performance evaluation of H.264 I-frame and JPWL for wireless image transmission

Abstract: Ahstract-The visual quality obtained in wireless transmission strongly depends on the characteristics of the wireless channel and on the error resilience of the source coding.

Cited by 3 publications

References 21 publications

Adaptive error protection coding for wireless transmission of motion JPEG 2000 video

Adaptive error protection coding for wireless transmission of motion JPEG 2000 video

Leveraging Power Spectral Density for Scalable System-Level Accuracy Evaluation

Error correction for video streaming to enhance MPEG performance quality

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