INTER-LAYER PIXEL SAMPLE PREDICTION
    24.
    发明申请
    INTER-LAYER PIXEL SAMPLE PREDICTION 审中-公开
    层间像素样本预测

    公开(公告)号:US20140286408A1

    公开(公告)日:2014-09-25

    申请号:US13996574

    申请日:2012-09-28

    Abstract: Systems, devices and methods are described including performing scalable video coding using inter-layer pixel sample prediction. Inter-layer pixel sample prediction in an enhancement layer coding unit, prediction unit, or transform unit may use reconstructed pixel samples obtained from a base layer or from a lower enhancement layer. The pixel samples may be subjected to upsample filtering and/or refinement filtering. The upsample or refinement filter coefficients may be predetermined or may be adaptively determined.

    Abstract translation: 描述了使用层间像素样本预测执行可缩放视频编码的系统,设备和方法。 增强层编码单元,预测单元或变换单元中的层间像素样本预测可以使用从基本层或较低增强层获得的重建像素样本。 可以对像素样本进行上采样滤波和/或细化滤波。 上采样或细化滤波器系数可以是预定的或可以被自适应地确定。

    Size based transform unit context derivation

    公开(公告)号:US12206897B2

    公开(公告)日:2025-01-21

    申请号:US17898283

    申请日:2022-08-29

    Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation. In an example encoder, first circuitry is to encode video input data into a bitstream according to a bitstream syntax, wherein the video input data includes one or more pictures, the one or more pictures are partitioned into one or more coding tree blocks, the one or more coding tree blocks are partitioned into slices including one or more coding tree blocks, the one or more coding tree blocks include one or more transform blocks according to a transform tree including a split_transform_flag indicative of the split of a given coding block into corresponding one or more transform blocks, the split_transform_flag is coded using CABAC, and a context index associated with the CABAC coding of the split_transform_flag is based on a value. Second circuitry of the encoder is to output the bitstream.

    SUPER RESOLUTION USING CONVOLUTIONAL NEURAL NETWORK

    公开(公告)号:US20230052483A1

    公开(公告)日:2023-02-16

    申请号:US17793341

    申请日:2020-02-17

    Abstract: An apparatus for super resolution imaging includes a convolutional neural network (104) to receive a low resolution frame (102) and generate a high resolution illuminance component frame. The apparatus also includes a hardware scaler (106) to receive the low resolution frame (102) and generate a second high resolution chrominance component frame. The apparatus further includes a combiner (108) to combine the high resolution illuminance component frame and the high resolution chrominance component frame to generate a high resolution frame (110).

    SIZE BASED TRANSFORM UNIT CONTEXT DERIVATION

    公开(公告)号:US20220417559A1

    公开(公告)日:2022-12-29

    申请号:US17898283

    申请日:2022-08-29

    Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation. In an example encoder, first circuitry is to encode video input data into a bitstream according to a bitstream syntax, wherein the video input data includes one or more pictures, the one or more pictures are partitioned into one or more coding tree blocks, the one or more coding tree blocks are partitioned into slices including one or more coding tree blocks, the one or more coding tree blocks include one or more transform blocks according to a transform tree including a split_transform_flag indicative of the split of a given coding block into corresponding one or more transform blocks, the split_transform_flag is coded using CABAC, and a context index associated with the CABAC coding of the split_transform_flag is based on a value. Second circuitry of the encoder is to output the bitstream.

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