AUTOMATIC DISPLAY MANAGEMENT METADATA GENERATION FOR GAMING AND/OR SDR+ CONTENTS

    公开(公告)号:US20210350512A1

    公开(公告)日:2021-11-11

    申请号:US17277480

    申请日:2019-09-18

    Abstract: Different candidate image data feature types are evaluated to identify one or more specific image data feature types to be used in training a prediction model for optimizing one or more image metadata parameters. A plurality of image data features of the one or more selected image data feature types is extracted from one or more images. The plurality of image data features of the one or more selected image data feature types is reduced into a plurality of significant image data features. A total number of image data features in the plurality of significant image data features is no larger than a total number of image data features in the plurality of image data features of the one or more selected image data feature types. The plurality of significant image data features is applied to training the prediction model for optimizing one or more image metadata parameters.

    INTER-LAYER PREDICTION FOR SIGNALS WITH ENHANCED DYNAMIC RANGE

    公开(公告)号:US20180262769A1

    公开(公告)日:2018-09-13

    申请号:US15534170

    申请日:2016-02-16

    CPC classification number: H04N19/33 H04N19/30 H04N19/463 H04N19/619

    Abstract: Pixel data of a video sequence with enhanced dynamic range (EDR) are predicted based on pixel data of a corresponding video sequence with standard dynamic range (SDR) and an inter-layer predictor. Under a highlights clipping constrain, conventional SDR to EDR prediction is adjusted as follows: a) given a highlights threshold, the SDR to EDR predictor is adjusted to output a fixed output value for all input SDR pixel values larger than the highlights threshold, and b) given a dark-regions threshold, the residual values between the input EDR signal and its predicted value are set to zero for all input SDR pixel values lower than the dark-regions threshold. Example processes to determine the highlights and dark-regions thresholds and whether highlights clipping is occurring are provided.

    DISTRIBUTION OF MULTI-FORMAT HIGH DYNAMIC RANGE VIDEO USING LAYERED CODING
    18.
    发明申请
    DISTRIBUTION OF MULTI-FORMAT HIGH DYNAMIC RANGE VIDEO USING LAYERED CODING 审中-公开
    使用分层编码的多格式高动态范围视频分配

    公开(公告)号:US20160014422A1

    公开(公告)日:2016-01-14

    申请号:US14772051

    申请日:2014-02-14

    Abstract: An encoder receives an input enhanced dynamic range (EDR) image to be stored or transmitted using multiple coding formats in a layered representation. A layer decomposer generates a lower dynamic range (LDR) image from the EDR image. One or more base layer (BL) encoders encode the LDR image to generate a main coded BL stream and one or more secondary coded BL streams, where each secondary BL stream is coded in a different coding format than the main coded BL stream. A single enhancement layer (EL) coded stream and related metadata are generated using the main coded BL stream, the LDR image, and the input EDR image. An output coded stream includes the coded EL stream, the metadata, and either the main coded BL stream or one of the secondary coded BL streams. Computation-scalable decoding and display management processes for EDR images are also described.

    Abstract translation: 编码器以分层的形式接收使用多个编码格式存储或发送的输入增强动态范围(EDR)图像。 层分解器从EDR图像生成较低的动态范围(LDR)图像。 一个或多个基本层(BL)编码器对LDR图像进行编码以产生主编码BL流和一个或多个二次编码BL流,其中每个次BL流以与主编码BL流不同的编码格式进行编码。 使用主编码BL流,LDR图像和输入EDR图像来生成单个增强层(EL)编码流和相关元数据。 输出编码流包括编码的EL流,元数据以及主编码BL流或二次编码BL流中的一个。 还描述了EDR图像的计算可扩展解码和显示管理过程。

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