H.264/AVC in mobile environment: a review

Arachchi, Hemantha Kodikara; Fernando, W.A.C.

doi:10.1117/1.2010087

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…Moreover, such applications currently can run on heterogeneous devices with very different capabilities, ranging from mobile devices with relatively small displays and limited power and computational resources to powerful personal computers with high-definition displays. 1 This advancement has been made possible by the intense research and development efforts in the field by academy and industry. A key contribution has been the increasing compression and resiliency performance offered by the new hybrid video coding standards such as H.264/ advanced video coding (AVC), 2 which allowed us to optimize the video presentation quality to end users while saving computational resources and bitrate.…”

Section: Introductionmentioning

confidence: 99%

Practical distributed video coding in packet lossy channels

Qing

Masala

2013

Opt. Eng

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Improving error resilience of video communications over packet lossy channels is an important and tough task. We present a framework to optimize the quality of video communications based on distributed video coding (DVC) in practical packet lossy network scenarios. The peculiar characteristics of DVC indeed require a number of adaptations to take full advantage of its intrinsic robustness when dealing with data losses of typical real packet networks. This work proposes a new packetization scheme, an investigation of the best error-correcting codes to use in a noisy environment, a practical rate-allocation mechanism, which minimizes decoder feedback, and an improved side-information generation and reconstruction function. Performance comparisons are presented with respect to a conventional packet video communication using H.264/advanced video coding (AVC). Although currently the H.264/AVC rate-distortion performance in case of no loss is better than state-ofthe-art DVC schemes, under practical packet lossy conditions, the proposed techniques provide better performance with respect to an H.264/ AVC-based system, especially at high packet loss rates. Thus the error resilience of the proposed DVC scheme is superior to the one provided by H.264/AVC, especially in the case of transmission over packet lossy networks.

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Section: Introductionmentioning

confidence: 99%

Practical distributed video coding in packet lossy channels

Qing

Masala

2013

Opt. Eng

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“…A further bottleneck encountered in the implementation of FVV technology is intrinsic to mobile terminals. Due to their hand-held nature, such devices are severely constrained in processing power, storage capacity and energy resources [10].…”

Section: Introductionmentioning

confidence: 99%

Applying Prediction Techniques to Reduce Uplink Transmission and Energy Requirements in Mobile Free-Viewpoint Video Applications

Raffaele

Debono

2010

2010 Second International Conferences on Advances in Multimedia

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The increased efficiency of video compression algorithms, the improvements registered in reliability, data rates and quality of service of wireless transmission technologies, and the development of mobile multimedia terminals have made possible the implementation of Free-Viewpoint Video (FVV) technology on mobile platforms. The mobile environment however presents several restrictions. Two of these limiting factors being bandwidth constraints and energy availability in battery-operated mobile terminals. This paper looks at the possibility of employing prediction algorithms at the FVV server to anticipate the next viewpoint expected by the user. In doing so, the number of uplink requests is reduced to situations where the estimated view defers from the requested one and the associated transmissions required in retraining the algorithm once this occurs. Simulation results on two different prediction techniques demonstrate that the uplink transmission rate is reduced by up to 96.7% when emulating a conventional FVV usage scenario. Both prediction algorithms infer a substantial decrease in the mobile terminal's power consumption and reduce the network's uplink bandwidth utilization.

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“…Additionally, emerging and future wireless systems will have a sufficient infrastructure to support the necessary bandwidth for video communication applications [9]. However, bit rates will always be scarce in wireless transmission environments due to the physical bandwidth spectrum allocation and the transmission power limitations [10][11]. Another main bottleneck for this technology is the processing capabilities of the mobile terminals and their dependence on battery power availability [12].…”

Section: Introductionmentioning

confidence: 99%

Minimizing Uplink Data in Wireless Free-Viewpoint Video Transmission Applications

Debono

Raffaele

2009

2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies

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The increase in processing power of mobile multimedia terminals, the improvements in camera technology and efficient video compression algorithms have made the implementation of mobile Free-Viewpoint Video (FVV) technology possible. However, the use of this technology in wireless environments poses a number of challenges. Amongst these there are issues in bandwidth utilisation and the limited supply power of the mobile device. To this effect, this paper compares the implementation of two prediction algorithms to forecast the next viewpoint in an attempt to minimise the amount of viewpoint requests uploaded to the server. Simulation results demonstrate that a reduction of up to 72% in uplink transmission traffic is achieved when emulating a conventional usage scenario. This means that the application of prediction schemes can drastically reduce the power consumption and resource requirements of mobile multimedia terminals.

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H.264/AVC in mobile environment: a review

Cited by 4 publications

References 24 publications

Practical distributed video coding in packet lossy channels

Practical distributed video coding in packet lossy channels

Applying Prediction Techniques to Reduce Uplink Transmission and Energy Requirements in Mobile Free-Viewpoint Video Applications

Minimizing Uplink Data in Wireless Free-Viewpoint Video Transmission Applications

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