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    Adaptive scaler switching
    1.
    发明授权
    Adaptive scaler switching 有权
    自适应缩放器切换

    公开(公告)号：US09516305B2

    公开(公告)日：2016-12-06

    申请号：US13744049

    申请日：2013-01-17

    Applicant: Apple Inc.

    Inventor： Jiefu Zhai ,  Douglas Price ,  Albert Keinath ,  Xiaosong Zhou ,  Hsi-Jung Wu

    IPC: H04N7/12 ,  H04N19/10 ,  H04N19/172 ,  H04N19/127 ,  H04N19/156 ,  H04N19/59 ,  H04N19/44 ,  H04N19/42

    CPC classification number: H04N19/10 ,  H04N19/127 ,  H04N19/156 ,  H04N19/172 ,  H04N19/42 ,  H04N19/44 ,  H04N19/59

    Abstract: An adaptive scaler switching system may implement multiple scalers including both a software scaler and a hardware scaler, and a controller that may manage the switch between scalers by considering the real-time constraints of the system and the available system resources. Information about the availability of system resources may be received in real-time, for example the controller may receive information about the system thermal status, the timing requirements for processing the video data, the quality of the scaled data, and any other relevant system statistics that may affect the scaler switch decision. According to an embodiment, the system may maintain statistics in a table, and update the table information as necessary.

    Abstract translation: 自适应缩放器交换系统可以实现包括软件缩放器和硬件缩放器两者的多个定标器，以及可以通过考虑系统的实时约束和可用系统资源来管理定标器之间的切换的控制器。 可以实时接收关于系统资源的可用性的信息，例如，控制器可以接收关于系统热状态，处理视频数据的时序要求，缩放数据的质量以及任何其它相关系统统计信息 这可能会影响缩放器切换的决定。 根据实施例，系统可以维护表中的统计信息，并根据需要更新表信息。

    Hierarchical sharpness evaluation
    2.
    发明授权
    Hierarchical sharpness evaluation 有权

    公开(公告)号：US10402677B2

    公开(公告)日：2019-09-03

    申请号：US15618909

    申请日：2017-06-09

    Applicant: Apple Inc.

    Inventor： Jiefu Zhai ,  Ke Zhang ,  Yunfei Zheng ,  Shujie Liu ,  Albert Keinath ,  Xiaosong Zhou ,  Chris Chung ,  Hsi-Jung Wu

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

    Abstract: Techniques are disclosed for estimating quality of images in an automated fashion. According to these techniques, a source image may be downsampled to generate at least two downsampled images at different levels of downsampling. Blurriness of the images may be estimated starting with a most-heavily downsampled image. Blocks of a given image may be evaluated for blurriness and, when a block of a given image is estimated to be blurry, the block of the image and co-located blocks of higher resolution image(s) may be designated as blurry. Thereafter, a blurriness score may be calculated for the source image from the number of blocks of the source image designated as blurry.

    Media Analysis and Processing Framework on a Resource Restricted Device
    5.
    发明申请
    Media Analysis and Processing Framework on a Resource Restricted Device 审中-公开
    资源限制设备上的媒体分析和处理框架

    公开(公告)号：US20160357605A1

    公开(公告)日：2016-12-08

    申请号：US15173047

    申请日：2016-06-03

    Applicant: Apple Inc.

    Inventor： Albert Keinath ,  Ke Zhang ,  Yunfei Zheng ,  Shujie Liu ,  Jiefu Zhai ,  Chris Y. Chung ,  Xiaosong Zhou ,  Hsi-Jung Wu

    IPC: G06F9/50 ,  H04L29/08 ,  G06F9/48

    CPC classification number: G06F9/5011 ,  G06F9/46 ,  G06F9/4881 ,  H04L67/34 ,  H04N21/41407 ,  H04N21/4433

    Abstract: A system for processing media on a resource restricted device, the system including a memory to store data representing media assets and associated descriptors, and program instructions representing an application and a media processing system, and a processor to execute the program instructions, wherein the program instructions represent the media processing system, in response to a call from an application defining a plurality of services to be performed on an asset, determine a tiered schedule of processing operations to be performed upon the asset based on a processing budget associated therewith, and iteratively execute the processing operations on a tier-by-tier basis, unless interrupted.

    Abstract translation: 一种用于在资源受限设备上处理媒体的系统，所述系统包括用于存储表示媒体资产和相关联描述符的数据的存储器，以及表示应用和媒体处理系统的程序指令以及执行所述程序指令的处理器，其中所述程序 指令代表媒体处理系统，响应于来自定义要在资产上执行的多个服务的应用的呼叫，基于与其相关联的处理预算来确定要在资产上执行的处理操作的分层调度，并且迭代地 除非中断，否则逐级执行处理操作。

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