OPTIMAL SETTINGS FOR APPLICATION STREAMING
    11.
    发明申请
    OPTIMAL SETTINGS FOR APPLICATION STREAMING 审中-公开
    应用流程的最佳设置

    公开(公告)号:US20160323336A1

    公开(公告)日:2016-11-03

    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.

    Abstract translation: 计算机应用流系统包括耦合到流传输设备的优化单元,以确定与所选计算机应用相对应的远程用户设备的流最优可播放设置,以及耦合到优化单元的发送单元,以管理流优化可播放设置的流传输 连接到远程用户设备的网络。 接收单元耦合到网络以恢复用于在使用所选择的计算机应用时向远程用户设备应用的流最优可播放设置。 可选的反馈单元耦合到远程用户设备以通过网络提供远程信息以修改流最优可播放设置,并且可选的更新单元耦合到流式传输设备,以管理流优化可播放设置的修改,如 远程信息。 还提供了流式传输计算机应用的方法。

    NETWORK ADAPTIVE LATENCY REDUCTION THROUGH FRAME RATE CONTROL

    公开(公告)号:US20200244559A1

    公开(公告)日:2020-07-30

    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.

    AUTOMATIC DATASET CREATION USING SOFTWARE TAGS

    公开(公告)号:US20200050936A1

    公开(公告)日:2020-02-13

    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.

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