Network adaptive latency reduction through frame rate control

    公开(公告)号:US10999174B2

    公开(公告)日:2021-05-04

    申请号:US16797948

    申请日:2020-02-21

    Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

    Optimal settings for application streaming

    公开(公告)号:US10298645B2

    公开(公告)日:2019-05-21

    申请号:US14698296

    申请日:2015-04-28

    Abstract: A computer application streaming system includes an optimization unit coupled to a streaming device to determine streaming optimal playable settings for a remote user device corresponding to a selected computer application and a sending unit coupled to the optimization unit to manage streaming of the streaming optimal playable settings over a network connected to the remote user device. A receiving unit is coupled to the network to recover the streaming optimal playable settings for application to the remote user device when employing the selected computer application. An optional feedback unit is coupled to the remote user device to provide remote information over the network for modifying the streaming optimal playable settings, and an optional update unit is coupled to the streaming device to manage modification of the streaming optimal playable settings as directed by the remote information. A method of streaming a computer application is also provided.

    Automatic dataset creation using software tags

    公开(公告)号:US12277406B2

    公开(公告)日:2025-04-15

    申请号:US16537255

    申请日:2019-08-09

    Abstract: Traditionally, a software application is developed, tested, and then published for use by end users. Any subsequent update made to the software application is generally in the form of a human programmed modification made to the code in the software application itself, and further only becomes usable once tested, published, and installed by end users having the previous version of the software application. This typical software application lifecycle causes delays in not only generating improvements to software applications, but also to those improvements being made accessible to end users. To help avoid these delays and improve performance of software applications, deep learning models may be made accessible to the software applications for use in providing inferenced data to the software applications, which the software applications may then use as desired. These deep learning models can furthermore be improved independently of the software applications using manual and/or automated processes.

    Network adaptive latency reduction through frame rate control

    公开(公告)号:US11012338B2

    公开(公告)日:2021-05-18

    申请号:US16797942

    申请日:2020-02-21

    Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

    NETWORK ADAPTIVE LATENCY REDUCTION THROUGH FRAME RATE CONTROL
    6.
    发明申请
    NETWORK ADAPTIVE LATENCY REDUCTION THROUGH FRAME RATE CONTROL 审中-公开
    网络自适应延迟通过帧速率控制

    公开(公告)号:US20140189091A1

    公开(公告)日:2014-07-03

    申请号:US13728927

    申请日:2012-12-27

    CPC classification number: H04L43/0876 H04L43/0858 H04L65/602 H04L65/80

    Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

    Abstract translation: 为云游戏系统中的一致服务质量提供了新颖的解决方案,通过使用帧速率上限来调节呈现的帧速率来自适应地动态地补偿不良网络条件,从而优化网络延迟节省(或多余)。 在另外的实施例中,也可以对客户机的编码/发送帧速率进行另外管理,或作为对所渲染的帧速率进行限制的替代方案。 所要求保护的实施例不仅维持用户的恒定的服务质量(QoS),而且还可以用于利用更高性能的网络来降低运营成本。

    NETWORK ADAPTIVE LATENCY REDUCTION THROUGH FRAME RATE CONTROL

    公开(公告)号:US20210226877A1

    公开(公告)日:2021-07-22

    申请号:US17222631

    申请日:2021-04-05

    Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

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