Determining common operations for image processing computing components

    公开(公告)号:US12165416B2

    公开(公告)日:2024-12-10

    申请号:US17187202

    申请日:2021-02-26

    Abstract: Systems, methods, and computer-readable media are provided for efficient control and data utilization between processing components of a system. An method can include obtaining image data captured by an image sensor; prior to a first computing component performing a first set of operations on the image data and a second computing component performing a second set of operations on the image data, determining one or more common operations included in the first set of operations and the second set of operations, wherein the first set of operations is different than the second set of operations; performing the one or more common operations on the image data; and generating an output of the one or more operations for use by the first computing component to perform the first set of operations and the second computing component to perform the second set of operations.

    Integrated downscale in video core
    2.
    发明授权
    Integrated downscale in video core 有权
    视频核心集成度低

    公开(公告)号:US09432614B2

    公开(公告)日:2016-08-30

    申请号:US13801220

    申请日:2013-03-13

    CPC classification number: H04N7/0117 H04N19/33 H04N19/42 H04N19/59

    Abstract: Implementations include video image processing systems, methods, and apparatus for integrated video downscale in a video core. The downscaler computes and writes a display frame to an external memory. This frame may have the same resolution as a target display device (e.g., mobile device). The target display device then reads this display frame, rather than the original higher resolution frame. By enabling downscale during encoding/decoding, the device can conserve resources such as memory bandwidth, memory access, bus bandwidth, and power consumption associated with separately downscaling a frame of video data.

    Abstract translation: 实现包括视频图像处理系统,方法和用于在视频核心中集成视频缩减的装置。 缩放器计算并将显示帧写入外部存储器。 该帧可以具有与目标显示设备(例如,移动设备)相同的分辨率。 目标显示设备然后读取该显示帧,而不是原始的较高分辨率帧。 通过在编码/解码期间实现低档,该设备可以节省与分别缩小视频数据帧相关联的资源,例如存储器带宽,存储器访问,总线带宽和功耗。

    INTEGRATED DOWNSCALE IN VIDEO CORE
    3.
    发明申请
    INTEGRATED DOWNSCALE IN VIDEO CORE 有权
    视频核心集成DOWNSCALE

    公开(公告)号:US20140269895A1

    公开(公告)日:2014-09-18

    申请号:US13801220

    申请日:2013-03-13

    CPC classification number: H04N7/0117 H04N19/33 H04N19/42 H04N19/59

    Abstract: Implementations include video image processing systems, methods, and apparatus for integrated video downscale in a video core. The downscaler computes and writes a display frame to an external memory. This frame may have the same resolution as a target display device (e.g., mobile device). The target display device then reads this display frame, rather than the original higher resolution frame. By enabling downscale during encoding/decoding, the device can conserve resources such as memory bandwidth, memory access, bus bandwidth, and power consumption associated with separately downscaling a frame of video data.

    Abstract translation: 实现包括视频图像处理系统,方法和用于在视频核心中集成视频缩减的装置。 缩放器计算并将显示帧写入外部存储器。 该帧可以具有与目标显示设备(例如,移动设备)相同的分辨率。 目标显示设备然后读取该显示帧,而不是原始的较高分辨率帧。 通过在编码/解码期间实现低档,该设备可以节省与分别缩小视频数据帧相关联的资源,例如存储器带宽,存储器访问,总线带宽和功耗。

    NEAR VISUALLY LOSSLESS VIDEO RECOMPRESSION
    4.
    发明申请
    NEAR VISUALLY LOSSLESS VIDEO RECOMPRESSION 审中-公开
    近视力无损视频录像

    公开(公告)号:US20160234496A1

    公开(公告)日:2016-08-11

    申请号:US14864527

    申请日:2015-09-24

    Abstract: Techniques are described for performing near visually lossless video recompression. The disclosed techniques generate video frames having relatively small bitrates and relatively small file sizes while retaining approximately a same level of visually perceivable video quality as the originally recorded video frames. In general, recompression of a video frame takes an input video frame and produces a second copy of the video frame that has the same or lower Nitrate. The proposed techniques address the problem of recompressing a video frame with no perceivable loss in visual quality (i.e., visually lossless recompression) compared to the original recording of the video frame. In addition, the disclosed techniques provide one-step recompression of video frames that includes a single decoding and encoding of each video frame.

    Abstract translation: 描述了用于执行近视觉无损视频再压缩的技术。 所公开的技术产生具有相对小的比特率和相对小的文件大小的视频帧,同时保持与原始记录的视频帧大致相同的视觉上可感知的视频质量水平。 通常,视频帧的重新压缩采用输入视频帧,并产生具有相同或更低硝酸盐的视频帧的第二副本。 所提出的技术解决了与视频帧的原始记录相比,视频质量(即视觉无损重新压缩)没有可察觉的损失来再压缩视频帧的问题。 此外,所公开的技术提供包括每个视频帧的单个解码和编码的视频帧的一步重新压缩。

    Machine learning based rate-distortion optimizer for video compression

    公开(公告)号:US11496746B2

    公开(公告)日:2022-11-08

    申请号:US17165680

    申请日:2021-02-02

    Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction Ĵ as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on Ĵ.

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