METHODS AND APPARATUSES FOR PERFORMING ENCODING AND DECODING ON IMAGE

    公开(公告)号:US20220030260A1

    公开(公告)日:2022-01-27

    申请号:US17498859

    申请日:2021-10-12

    Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.

    VIDEO DECODING METHOD AND APPARATUS AND VIDEO ENCODING METHOD AND APPARATUS

    公开(公告)号:US20210258605A1

    公开(公告)日:2021-08-19

    申请号:US17228197

    申请日:2021-04-12

    Abstract: Provided are a video encoding and decoding method and apparatus for obtaining, in a video encoding and decoding process, motion vector resolution information from a bit stream by using a high-level syntax which is a group of information that is applied to a predefined data unit group; determining a motion vector resolution of a current block included in the predefined data unit group based on the motion vector resolution information; determining a prediction motion vector of the current block to be a motion vector of a candidate block from among at least one candidate block, based on the motion vector resolution of the current block; and determining a motion vector of the current block by using the prediction motion vector of the current block.

    VIDEO ENCODING AND DECODING METHOD USING TILES AND TILE GROUPS, AND VIDEO ENCODING AND DECODING DEVICE USING TILES AND TILE GROUPS

    公开(公告)号:US20230070926A1

    公开(公告)日:2023-03-09

    申请号:US17986052

    申请日:2022-11-14

    Abstract: Provided is a video decoding method including: determining whether or not to perform history-based motion vector prediction for inter-prediction of a current block, based on a location of the current block in a tile including a plurality of largest coding units; when it is determined to perform the history-based motion vector prediction on the current block, generating a motion information candidate list including history-based motion vector candidates; determining a motion vector of the current block by using a motion vector predictor determined from the motion information candidate list; and reconstructing the current block by using the motion vector of the current block, wherein, when a motion constraint is applied to a first tile group, when a reference picture of a first tile from among tiles included in the first tile group is a second picture, a motion vector of the first tile is not permitted to indicate a block of the second picture, the block being located outside a second tile group, and when the motion constraint is not applied to the first tile group, the motion vector of the first tile is permitted to indicate the block of the second picture, the block being located outside the second tile group.

    METHOD AND APPARATUS FOR STREAMING DATA

    公开(公告)号:US20210358083A1

    公开(公告)日:2021-11-18

    申请号:US17385995

    申请日:2021-07-27

    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.

    METHOD AND APPARATUS FOR STREAMING DATA
    6.
    发明申请

    公开(公告)号:US20200219232A1

    公开(公告)日:2020-07-09

    申请号:US16822665

    申请日:2020-03-18

    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.

    VIDEO ENCODING AND DECODING METHOD USING TILES AND TILE GROUPS, AND VIDEO ENCODING AND DECODING DEVICE USING TILES AND TILE GROUPS

    公开(公告)号:US20220014774A1

    公开(公告)日:2022-01-13

    申请号:US17283470

    申请日:2019-10-11

    Abstract: Provided is a video decoding method including: determining whether or not to perform history-based motion vector prediction for inter-prediction of a current block, based on a location of the current block in a tile including a plurality of largest coding units; when it is determined to perform the history-based motion vector prediction on the current block, generating a motion information candidate list including history-based motion vector candidates; determining a motion vector of the current block by using a motion vector predictor determined from the motion information candidate list; and reconstructing the current block by using the motion vector of the current block, wherein, when a motion constraint is applied to a first tile group, when a reference picture of a first tile from among tiles included in the first tile group is a second picture, a motion vector of the first tile is not permitted to indicate a block of the second picture, the block being located outside a second tile group, and when the motion constraint is not applied to the first tile group, the motion vector of the first tile is permitted to indicate the block of the second picture, the block being located outside the second tile group.

    VIDEO DECODING METHOD AND APPARATUS AND VIDEO ENCODING METHOD AND APPARATUS

    公开(公告)号:US20210258606A1

    公开(公告)日:2021-08-19

    申请号:US17228269

    申请日:2021-04-12

    Abstract: Provided are a video encoding and decoding method and apparatus for obtaining, in a video encoding and decoding process, motion vector resolution information from a bit stream by using a high-level syntax which is a group of information that is applied to a predefined data unit group; determining a motion vector resolution of a current block included in the predefined data unit group based on the motion vector resolution information; determining a prediction motion vector of the current block to be a motion vector of a candidate block from among at least one candidate block, based on the motion vector resolution of the current block; and determining a motion vector of the current block by using the prediction motion vector of the current block.

    IMAGE ENCODING METHOD AND APPARATUS AND IMAGE DECODING METHOD AND APPARATUS

    公开(公告)号:US20210127135A1

    公开(公告)日:2021-04-29

    申请号:US17081364

    申请日:2020-10-27

    Abstract: Methods and apparatuses for image encoding and image decoding are provided. The image decoding method includes: obtaining deep neural network (DNN) update permission information indicating whether one or more pieces of DNN setting information are updated; based on the DNN update permission information indicating that the one or more pieces of the DNN setting information are updated, obtaining DNN update information necessary for determining one or more pieces of the DNN setting information that are updated; determining the one or more pieces of the updated DNN setting information according to the DNN update information; and obtaining a third image by performing artificial intelligence (AI) up-scaling on a second image according to the one or more pieces of the updated DNN setting information.

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