ADAPTIVE CODING TOOL SELECTION WITH CONTENT CLASSIFICATION

    公开(公告)号:US20240283952A1

    公开(公告)日:2024-08-22

    申请号:US18636941

    申请日:2024-04-16

    CPC classification number: H04N19/189 H04N19/176 H04N19/186 H04N19/46

    Abstract: A lightweight but effective adaptive coding tool selection system with content classification can be implemented to reduce complexity and maintain quality in a video encoder. Content classification may classify a current frame between at least three classifications: screen content, weak screen content, and natural content. Content classification may make use of two statistics, e.g., color number and variance, of blocks that are 8×8 pixels or larger in size. The statistics may be used to calculate three frame-level statistics, e.g., proportion/percentage of blocks with few colors, proportion/percentage of blocks with zero variance, and proportion/percentage of blocks with big/large variance. The frame-level statistics are used to classify the current frame. Based on the classification, coding tool control flags or control signals may be generated accordingly to configure the encoder to, e.g., turn on or off certain coding tools, and/or use certain parameter values for the coding tools.

    Loop restoration filtering for super resolution video coding

    公开(公告)号:US11445220B2

    公开(公告)日:2022-09-13

    申请号:US16901910

    申请日:2020-06-15

    Abstract: Techniques related to selecting restoration filter coefficients for 2-dimensional loop restoration filters for super resolution video coding are discussed. Such techniques include upscaling reconstructed video frames along only a first dimension and selecting filter coefficients for portions of the frame by an evaluation that, for each pixel of the portion, uses only pixel values that are aligned with the first dimension. Selection of filter coefficients for the second dimension may be skipped or made using only a subset of available filter coefficients.

    METHODS AND APPARATUS TO ENCODE VIDEO WITH REGION OF MOTION DETECTION

    公开(公告)号:US20220116622A1

    公开(公告)日:2022-04-14

    申请号:US17560095

    申请日:2021-12-22

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. Example apparatus disclosed herein are to process features extracted from first and second downscaled image frames to determine block classifications for respective blocks of the first and the second downscaled image frames. Disclosed example apparatus are also to generate a map based on the block classifications, the map including values representative of amounts of change associated with blocks of the second downscaled image frame and corresponding blocks of the first downscaled image frame. Disclosed example apparatus are further to adjust a quantization parameter of a full-scale image frame based on the map, the full-scale image frame corresponding to the at least one of the first or the second downscaled image frames.

    HUMAN VISUAL SYSTEM ADAPTIVE VIDEO CODING
    18.
    发明申请

    公开(公告)号:US20200267396A1

    公开(公告)日:2020-08-20

    申请号:US16869053

    申请日:2020-05-07

    Abstract: An example apparatus for encoding video frames includes a mask selector to select a subset of visual masks according to an actual target compression ratio and GOP configuration and a complexity estimator to estimate a picture level spatial/temporal complexity for a current frame. The example apparatus further includes a GOP adaptive visual mask selector to specify a visual mask from the subset of the visual masks corresponding to the estimated spatial and temporal complexity value a good enough picture QP deriver to derive a good enough picture QP value using the visual mask. The example apparatus also includes an adjustor to adjust the good enough picture QP value based on block level human visual system sensitivity and statistics of already encoded frames to obtain a final human visual system QP map.

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