A low latency cloud gaming system using edge preserved image homography

Xu, Lingfeng; Guo, Xianping; Lu, Yan; Li, Shipeng; Au, Oscar C.; Fang, Lu

doi:10.1109/icme.2014.6890279

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…The experimental results demonstrate that it is possible to save 42% of encoding time without degrading the graphic quality. Authors in [22] explored the approach to interpolate the frames by introducing motion estimation. They use image homography technique for better motion prediction and introduce a dedicated interpolation algorithm for accurate interpolation.…”

Section: Cloud Vrmentioning

confidence: 99%

“…Its 6G vision and technology trends study are expected to be completed by 2023. The ITU-T focus group technologies for network 2030 (FG NET-2030) was established by ITU-T Study Group 13 at its meeting in Geneva, [16][17][18][19][20][21][22][23][24][25][26][27] July 2018. It intends to study the capabilities of networks for the year 2030 and beyond, when it is expected to support novel forward-looking scenarios, such as holographic type communications, extremely fast response in critical situations and high-precision communication demands of emerging market verticals.…”

Section: Introductionmentioning

confidence: 99%

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Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

You

Wang

Huang

et al. 2020

Sci. China Inf. Sci.

1,325

495

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The fifth generation (5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability, and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation (6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle (UAV) communication networks, thus achieving a space-air-ground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6 GHz, millimeter wave (mmWave), terahertz (THz), and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence (AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent that the boundary between physical and cyber worlds disappears.

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Section: Cloud Vrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

You

Wang

Huang

et al. 2020

Sci. China Inf. Sci.

1,325

495

View full text Add to dashboard Cite

show abstract

“…In general, interaction delay and graphic quality are two significant criteria that determine client's QoE. In Cloud Gaming, rigid real-time responsiveness is demanded in order to achieve good enough QoE [2,7], so currently most related researches focus on alleviating interaction delay [9,1]. On the other hand, findings from a conducted subject test show that clients are sensitive to changes in graphic quality and smoothness during gameplay, which implies that graphic quality notably affects QoE of Cloud Gaming as well [8].…”

Section: Rendering Encoded As Videomentioning

confidence: 99%

A Hybrid Game Contents Streaming Method: Improving Graphic Quality Delivered on Cloud Gaming

Kar-Long

Ichikawa

Watashiba

et al. 2016

Entertainment Computing - ICEC 2016

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The emerging Cloud Gaming Service provides highly accessible video gaming experience. However, in term of the gaming quality, Cloud Gaming is not competitive to rival with traditional gaming because of network constraints. Especially, 3D game contents streamed as encoded video sequence is suitable in a network environment, but the resulted lower graphic quality may not meet client's demand. Therefore, we propose a Hybrid-Streaming System that aims at improving graphic quality delivered on Cloud Gaming. By utilizing available rendering power from both Cloud Server and client's PC, the system distributes rendering operations to both sides to achieve the desired improvement. Quantitative results show the improvement of graphic quality from the proposed method, as well as reducing server's workload and attaining acceptable network bandwidth consumption.

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A semidefinite relaxation approach for the offloading problem in edge computing

Han

Gao

et al. 2022

Computers & Electrical Engineering

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A low latency cloud gaming system using edge preserved image homography

Cited by 10 publications

References 5 publications

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

A Hybrid Game Contents Streaming Method: Improving Graphic Quality Delivered on Cloud Gaming

A semidefinite relaxation approach for the offloading problem in edge computing

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