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    Super-resolution loop restoration
    2.
    发明授权
    Super-resolution loop restoration 有权

    公开(公告)号：US12075081B2

    公开(公告)日：2024-08-27

    申请号：US18155224

    申请日：2023-01-17

    申请人： Google LLC

    发明人： Urvang Joshi ,  Debargha Mukherjee ,  Andrew Simpson

    IPC分类号： H04N19/50 ,  H04N7/01 ,  H04N19/117 ,  H04N19/176 ,  H04N19/184 ,  H04N19/61

    CPC分类号： H04N19/50 ,  H04N7/0117 ,  H04N19/117 ,  H04N19/176 ,  H04N19/184 ,  H04N19/619

    摘要： A super-resolution coding mode is described. An encoded image can be decoded from an encoded bitstream stored on a non-transitory computer-readable storage medium. A flag can indicate whether an image was encoded using the super-resolution mode at a first resolution. Responsive to the flag indicating that the image was encoded using the super-resolution mode, bits indicating an amount of scaling of the image are included. The image is decoded from the encoded bitstream to obtain a reconstructed image at the first resolution, and the reconstructed image is upscaled to a second resolution using the amount of scaling to obtain an upscaled reconstructed image. The second resolution is higher than the first resolution. Loop restoration parameters within the bitstream can used for look restoration filtering of the upscaled reconstructed image to obtain a loop restored image at the second resolution.

    WARPED REFERENCE LIST FOR WARPED MOTION VIDEO CODING
    3.
    发明公开
    WARPED REFERENCE LIST FOR WARPED MOTION VIDEO CODING 审中-公开

    公开(公告)号：US20240187566A1

    公开(公告)日：2024-06-06

    申请号：US18074562

    申请日：2022-12-05

    申请人： GOOGLE LLC

    发明人： Mohammed Golam Sarwer ,  Rachel Barker ,  Jianle Chen ,  Debargha Mukherjee

    IPC分类号： H04N19/105 ,  H04N19/176 ,  H04N19/182 ,  H04N19/46

    CPC分类号： H04N19/105 ,  H04N19/176 ,  H04N19/182 ,  H04N19/46

    摘要： Encoding and decoding using warped reference list includes generating a reconstructed frame from an encoded bitstream by, for decoding a current block for the reconstructed frame, obtaining a dynamic reference list, obtaining a warped reference list, decoding a warped reference list index value, obtaining optimal predicted warped model parameters from the warped reference list in accordance with the index value, decoding differential warped model parameters, obtaining, as optimal warped model parameters, a result of adding the optimal predicted warped model parameters and the differential warped model parameters, obtaining predicted block data in accordance with the optimal warped model parameters, decoding residual block data, and obtaining, as decoded block data for the current block, a result of adding the residual block data and the predicted block data.

    Guided restoration of video data using neural networks
    4.
    发明授权
    Guided restoration of video data using neural networks 有权

    公开(公告)号：US11282172B2

    公开(公告)日：2022-03-22

    申请号：US16515226

    申请日：2019-07-18

    申请人： GOOGLE LLC

    发明人： Debargha Mukherjee ,  Urvang Joshi ,  Yue Chen ,  Sarah Parker

    IPC分类号： G06T9/00 ,  G06T5/00 ,  G06T5/50 ,  G06N3/08 ,  G06N3/04 ,  H04N19/70 ,  H04N19/176 ,  G06N20/20 ,  G06T3/40 ,  G06K9/62

    摘要： Guided restoration is used to restore video data degraded from a video frame. The video frame is divided into restoration units (RUs) which each correspond to one or more blocks of the video frame. Restoration schemes are selected for each RU. The restoration schemes may indicate to use one of a plurality of neural networks trained for the guided restoration. Alternatively, the restoration schemes may indicate to use a neural network and a filter-based restoration tool. The video frame is then restored by processing each RU according to the respective selected restoration scheme. During encoding, the restored video frame is encoded to an output bitstream, and the use of the selected restoration schemes may be signaled within the output bitstream. During decoding, the restored video frame is output to an output video stream.

    COMPOUND PREDICTION FOR VIDEO CODING
    5.
    发明申请
    COMPOUND PREDICTION FOR VIDEO CODING 有权

    公开(公告)号：US20210037254A1

    公开(公告)日：2021-02-04

    申请号：US17073892

    申请日：2020-10-19

    申请人： GOOGLE LLC

    发明人： Debargha Mukherjee ,  James Bankoski ,  Yue Chen ,  Yuxin Liu ,  Sarah Parker

    IPC分类号： H04N19/517 ,  H04N19/46 ,  H04N19/136 ,  H04N19/105 ,  H04N19/139 ,  H04N19/176 ,  H04N19/182

    摘要： Generating a compound predictor block of a current block of video can include generating, for the current block, predictor blocks comprising a first predictor block including first predictor pixels and a second predictor block including second predictor pixels; using at least a subset of the first predictor pixels to determine a first weight for a first predictor pixel of the first predictor pixels; obtaining a second weight for a second predictor pixel of the second predictor pixels, where the second predictor pixel is co-located with the first predictor pixel; and generating the compound predictor block by combining the first predictor block and the second predictor block, where the predictor block includes a weighted pixel that is determined using a weighted sum of the first predictor pixel and the second predictor pixel using the first weight and the second weight, respectively.

    IMAGE AND VIDEO CODING USING MACHINE LEARNING PREDICTION CODING MODELS
    6.
    发明申请
    IMAGE AND VIDEO CODING USING MACHINE LEARNING PREDICTION CODING MODELS 审中-公开

    公开(公告)号：US20200186796A1

    公开(公告)日：2020-06-11

    申请号：US16295176

    申请日：2019-03-07

    申请人： GOOGLE LLC

    发明人： Debargha Mukherjee ,  Urvang Joshi ,  Yue Chen ,  Sarah Parker

    IPC分类号： H04N19/107 ,  H04N19/105 ,  G06N20/00 ,  H04N19/184 ,  H04N19/154

    摘要： Video coding may include generating, by a processor, a decoded frame by decoding a current frame from an encoded bitstream and outputting a reconstructed frame based on the decoded frame. Decoding includes identifying a current encoded block from the current frame, identifying a prediction coding model for the current block, wherein the prediction coding model is a machine learning prediction coding model from a plurality of machine learning prediction coding models, identifying reference values for decoding the current block based on the prediction coding model, obtaining prediction values based on the prediction coding model and the reference values, generating a decoded block corresponding to the current encoded block based on the prediction values, and including the decoded block in the decoded frame.

    GUIDED RESTORATION OF VIDEO DATA USING NEURAL NETWORKS
    7.
    发明申请
    GUIDED RESTORATION OF VIDEO DATA USING NEURAL NETWORKS 审中-公开

    公开(公告)号：US20200184603A1

    公开(公告)日：2020-06-11

    申请号：US16515226

    申请日：2019-07-18

    申请人： GOOGLE LLC

    发明人： Debargha Mukherjee ,  Urvang Joshi ,  Yue Chen ,  Sarah Parker

    IPC分类号： G06T5/00 ,  G06T5/50 ,  G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06T9/00 ,  G06T3/40 ,  H04N19/70 ,  H04N19/176 ,  G06K9/62

    摘要： Guided restoration is used to restore video data degraded from a video frame. The video frame is divided into restoration units (RUs) which each correspond to one or more blocks of the video frame. Restoration schemes are selected for each RU. The restoration schemes may indicate to use one of a plurality of neural networks trained for the guided restoration. Alternatively, the restoration schemes may indicate to use a neural network and a filter-based restoration tool. The video frame is then restored by processing each RU according to the respective selected restoration scheme. During encoding, the restored video frame is encoded to an output bitstream, and the use of the selected restoration schemes may be signaled within the output bitstream. During decoding, the restored video frame is output to an output video stream.

    SUPER-RESOLUTION LOOP RESTORATION
    9.
    发明申请
    SUPER-RESOLUTION LOOP RESTORATION 审中-公开

    公开(公告)号：US20190394482A1

    公开(公告)日：2019-12-26

    申请号：US16018105

    申请日：2018-06-26

    申请人： GOOGLE LLC

    发明人： Urvang Joshi ,  Debargha Mukherjee ,  Andrew Simpson

    IPC分类号： H04N19/50 ,  H04N7/01 ,  H04N19/176 ,  H04N19/184 ,  H04N19/61 ,  H04N19/117

    摘要： Systems and methods are disclosed for encoding and decoding video. For example, methods may include accessing an encoded bitstream; decoding loop restoration parameters in the encoded bitstream; after reconstruction of an image at a second resolution based on data of the encoded bitstream, upscaling the reconstructed image to obtain an upscaled reconstructed image at a first resolution, wherein the second resolution is less than the first resolution in at least one dimension; and applying loop restoration filtering to the upscaled reconstructed image using the loop restoration parameters to obtain a loop restored image at the first resolution.

    Non-causal overlapped block prediction in variable block size video coding
    10.
    发明授权
    Non-causal overlapped block prediction in variable block size video coding 有权

    公开(公告)号：US10419777B2

    公开(公告)日：2019-09-17

    申请号：US15387797

    申请日：2016-12-22

    申请人： GOOGLE LLC

    发明人： Debargha Mukherjee ,  Yue Chen

    IPC分类号： H04N19/583 ,  H04N19/167 ,  H04N19/176

    摘要： A method for processing a selected portion of a video, the selected portion of the video having a plurality of blocks. The method includes obtaining current prediction parameters for all of a plurality of adjacent blocks from the plurality of blocks that are adjacent to a current block from the plurality of blocks in the selected portion of the video, generating a base prediction for the current block from the plurality of blocks using the current prediction parameters associated with the current block, identifying adjacent prediction parameters from the current prediction parameters for a first adjacent block from the plurality of adjacent blocks, determining an overlap region within the current block and adjacent to the first adjacent block, and generating, for each pixel within the overlap region, an overlapped prediction for the pixel as a function of the base prediction and a prediction based on the adjacent prediction parameters.