JOINT CLIPPING OPERATING FOR FILTERS FOR VIDEO CODING

    公开(公告)号:US20220400292A1

    公开(公告)日:2022-12-15

    申请号:US17806192

    申请日:2022-06-09

    摘要: A video encoder or video decoder are configured to reconstruct the video data to generate reconstructed video data. The video encoder or video decoder may further perform a plurality of loop filter operations on the reconstructed video data in parallel, wherein the plurality of loop filter operations includes a first filter operation that is not a bilateral filter operation or a sample adaptive offset (SAO) filter operation, and perform a joint clipping operation on a first output of the first filter and a second output of a second loop filter operation of the plurality of loop filter operations. The first filter operation may be a cross-component sample adaptive offset (CCSAO) filter operation.

    MULTIPLE NEURAL NETWORK MODELS FOR FILTERING DURING VIDEO CODING

    公开(公告)号:US20220215593A1

    公开(公告)日:2022-07-07

    申请号:US17566282

    申请日:2021-12-30

    摘要: An example device for filtering decoded video data includes one or more processors configured to execute a neural network filtering unit to: receive data from one or more other units of the device, the data from the one or more other units of the device being different than data for a decoded picture of video data, and wherein to receive the data from the one or more other units of the device, the one or more processors are configured to execute the neural network filtering unit to receive boundary strength data from a deblocking unit of the device; determine one or more neural network models to be used to filter a portion of the decoded picture; and filter the portion of the decoded picture using the one or more neural network models and the data from the one or more other units of the device, including the boundary strength data.

    JOINT-COMPONENT NEURAL NETWORK BASED FILTERING DURING VIDEO CODING

    公开(公告)号:US20220109860A1

    公开(公告)日:2022-04-07

    申请号:US17493543

    申请日:2021-10-04

    摘要: An example device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: apply a downsampling convolutional neural network layer to a first color component of a block of video data, the first color component of the block having a first size, wherein applying the downsampling convolutional neural network layer to the first color component generates a downsampled first color component having a second size smaller than the first size; filter a second color component having the second size to form a filtered second color component; concatenate the downsampled first color component with the filtered second color component to form concatenated color components; and filter the concatenated color components to form a filtered concatenated component including a filtered downsampled first color component.