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    SERVER-SIDE ADAPTIVE VIDEO PROCESSING
    31.
    发明申请
    SERVER-SIDE ADAPTIVE VIDEO PROCESSING 审中-公开
    服务器端自适应视频处理

    公开(公告)号：US20150243243A1

    公开(公告)日：2015-08-27

    申请号：US14631398

    申请日：2015-02-25

    申请人： Apple Inc.

    发明人： Kenneth I. Greenebaum ,  Haitao Guo ,  Hao Pan ,  Guy Cote ,  Andrew Bai

    IPC分类号： G09G5/00 ,  G09G3/20 ,  H04N1/60 ,  H04N9/67 ,  H04N9/64 ,  G06T5/00 ,  H04N5/50

    摘要： Adaptive video processing for a target display panel may be implemented in or by a server/encoding pipeline. The adaptive video processing methods may obtain and take into account video content and display panel-specific information including display characteristics and environmental conditions (e.g., ambient lighting and viewer location) when processing and encoding video content to be streamed to the target display panel in an ambient setting or environment. The server-side adaptive video processing methods may use this information to adjust one or more video processing functions as applied to the video data to generate video content in the color gamut and dynamic range of the target display panel that is adapted to the display panel characteristics and ambient viewing conditions.

    摘要翻译： 用于目标显示面板的自适应视频处理可以在服务器/编码流水线中或由服务器/编码流水线实现。 当处理和编码要流式传输到目标显示面板的视频内容时，自适应视频处理方法可以获得并考虑视频内容和显示面板特定信息，包括显示特性和环境条件（例如，环境照明和观看者位置） 环境设置或环境。 服务器侧自适应视频处理方法可以使用该信息来调整应用于视频数据的一个或多个视频处理功能，以生成适合于显示面板特征的目标显示面板的色域和动态范围中的视频内容 和环境观察条件。

    Adaptive Auto Exposure and Dynamic Range Compensation
    32.
    发明申请
    Adaptive Auto Exposure and Dynamic Range Compensation 有权
    自适应自动曝光和动态范围补偿

    公开(公告)号：US20150070570A1

    公开(公告)日：2015-03-12

    申请号：US14269814

    申请日：2014-05-05

    申请人： Apple Inc.

    发明人： Touraj Tajbakhsh ,  Yingjun Bai ,  Haitao Guo

    IPC分类号： H04N5/235

    CPC分类号： H04N9/735 ,  H04N1/60 ,  H04N1/6086 ,  H04N5/2353 ,  H04N5/3572

    摘要： This disclosure pertains to systems, methods, and computer readable media for extending the dynamic range of images using an operation referred to herein as “Adaptive Auto Exposure” (AAE). According to the embodiments disclosed herein, the AAE-enabled higher dynamic range capture operations are accomplished without blending multiple or bracketed exposure captures (as is the case with traditional high dynamic range (HDR) photography). AAE also enables high signal-to-noise ratio (SNR) rendering when scene content allows for it and/or certain highlight clipping is tolerable. Decisions with regard to preferred AE strategies may be based, at least in part, on one or more of the following: sensor characteristics; scene content; and pre-defined preferences under different scenarios.

    摘要翻译： 本公开涉及用于使用本文称为“自适应自动曝光”（AAE）的操作来扩展图像的动态范围的系统，方法和计算机可读介质。 根据本文公开的实施例，在不混合多个或包围曝光捕获的情况下（如传统的高动态范围（HDR）拍摄的情况）），实现了启用AAE的较高动态范围捕获操作。 当场景内容允许时，AAE还能实现高信噪比（SNR）渲染，和/或某些高亮度剪辑是可以容忍的。 关于优选AE策略的决定可以至少部分地基于以下一个或多个：传感器特征; 场景内容; 和不同场景下的预定义偏好。

    DYNAMIC CAMERA MODE SWITCHING
    33.
    发明申请
    DYNAMIC CAMERA MODE SWITCHING 有权
    动态相机模式切换

    公开(公告)号：US20130329075A1

    公开(公告)日：2013-12-12

    申请号：US13628558

    申请日：2012-09-27

    申请人： APPLE INC.

    发明人： Yongfang Liang ,  Munehiro Mori ,  Haitao Guo ,  Ting Chen

    IPC分类号： H04N5/225

    CPC分类号： H04N5/23245 ,  G03B7/16 ,  H04N5/2256 ,  H04N5/23235 ,  H04N5/23293 ,  H04N5/2358 ,  H04N5/343

    摘要： A method for automatic image capture control and digital imaging is described. An image buffer is initialized to store a digital image produced by an image sensor, through allocation of a region in memory for the buffer that is large enough to store a full resolution frame from the image sensor. While non-binning streaming frames, from the sensor and in the buffer, are being displayed in preview, the sensor is reconfigured into binning mode, and then binned streaming frames are processed in the buffer, but without allocating a smaller region in memory for the buffer. Other embodiments are also described and claimed.

    摘要翻译： 描述了一种用于自动图像捕获控制和数字成像的方法。 图像缓冲器被初始化以存储由图像传感器产生的数字图像，通过分配足够大的存储器的存储器中的区域来存储来自图像传感器的全分辨率帧。 当传感器和缓冲区中的非分块流媒体帧正在预览中显示时，传感器被重新配置为合并模式，然后在缓冲器中处理分组流帧，但是在内存中不分配较小的区域 缓冲。 还描述和要求保护其他实施例。

    PROCESS FOR UPDATING TEMPLATES USED IN FACIAL RECOGNITION
    35.
    发明申请
    PROCESS FOR UPDATING TEMPLATES USED IN FACIAL RECOGNITION 审中-公开

    公开(公告)号：US20200285875A1

    公开(公告)日：2020-09-10

    申请号：US16708770

    申请日：2019-12-10

    申请人： Apple Inc.

    发明人： Eslam A. Mostafa ,  Haitao Guo ,  Feng Tang

    IPC分类号： G06K9/00 ,  G06F21/32 ,  G06K9/20

    摘要： Templates used for a facial recognition process for authentication of a user to use a device may be updated by the device as features of the user change over time. Features of the user may gradually change over time due to changes such as facial hair changes, haircuts, gaining/losing weight, and/or aging. Updating the templates used for the facial recognition process may allow the user to continue being authenticated as features of the user change without the need for additional enrollments of the user.

    Deep Quality Enhancement of Adaptive Downscaled Coding for Image Compression
    37.
    发明申请
    Deep Quality Enhancement of Adaptive Downscaled Coding for Image Compression 审中-公开

    公开(公告)号：US20200053362A1

    公开(公告)日：2020-02-13

    申请号：US16100310

    申请日：2018-08-10

    申请人： Apple Inc.

    发明人： Xiang Fu ,  Linfeng Guo ,  Haiyan He ,  Wei Li ,  Xu Gang Zhao ,  Hao Pan ,  Xiaohua Yang ,  Krishnakanth Rapaka ,  Munehiro Nakazato ,  Haitao Guo

    IPC分类号： H04N19/176 ,  H04N19/126 ,  G06N3/08 ,  G06T7/13

    摘要： Techniques are disclosed for coding image data adaptively at different levels of downscaling. Such techniques may involve partitioning input data into pixel blocks for coding and performing content analysis on the pixel blocks. The pixel blocks may be input to block coders that operate at different pixel block sizes, which may code the pixel blocks input to them at their respective sizes. Except when a block coder operates at the partitioning size, block coders that operate at different pixel block sizes may perform downscaling of the pixel blocks to match their size with the block coders' respective coding size. A block decoder may invert the coding operations performed by the block coders, decoding coded image data at respective pixel block sizes, then upscaling decoded image data obtained therefrom to a common pixel block size. Image reconstruction may synthesize a resultant image from the decode pixel block data output by the decoders. Quality enhancements may be added by neural network processing systems that have been trained to other segmented images.