IMAGE DECODING METHOD AND APPARATUS, AND IMAGE ENCODING METHOD AND APPARATUS

    公开(公告)号:US20240073436A1

    公开(公告)日:2024-02-29

    申请号:US18238340

    申请日:2023-08-25

    CPC classification number: H04N19/44 H04N19/105 H04N19/137 H04N19/176

    Abstract: Provided are an image decoding method and apparatus. The image decoding method includes identifying at least two neighboring sub-blocks that have a same motion vector and are adjacent to each other from among a plurality of neighboring sub-blocks adjacent to a current block, determining a representative motion vector and representative location information corresponding to the at least two neighboring sub-blocks, determining a parameter of a model for determining a motion vector based on the representative motion vector and the representative location information, determining a motion vector of a current sub-block included in the current block, based on location information of the current sub-block and the parameter, and predicting the current block based on the motion vector of the current sub-block wherein the representative motion vector is determined based on the same motion vector, and the representative location information indicates coordinates that are determined based on the at least two neighboring sub-blocks.

    Method and apparatus for streaming data

    公开(公告)号:US11748847B2

    公开(公告)日:2023-09-05

    申请号:US17385995

    申请日:2021-07-27

    CPC classification number: G06T3/4046 H04L65/70 H04L65/762 H04L65/80 H04N19/85

    Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

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