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11.发明申请公开(公告)号：US20220174288A1
公开(公告)日：2022-06-02
申请号：US17675410
申请日：2022-02-18
发明人： Minwoo PARK , Minsoo Park , Kwangpyo Choi , Kiho Choi , Yinji Piao
IPC分类号： H04N19/139 , H04N19/176 , H04N19/105 , H04N19/172 , H04N19/52 , H04N19/11
摘要： A method, performed by an image decoding apparatus, of decoding a motion vector, including obtaining information indicating a motion vector resolution of a current block from a bitstream; selecting a first neighboring block from among neighboring blocks adjacent to the current block, by using the obtained information indicating the motion vector resolution of the current block; based on the current block referring to a reference picture in a list 0, and the first neighboring block referring to the reference picture in the list 0, determining a prediction motion vector of the current block using a motion vector of the first neighboring block; based on the current block referring to the reference picture in the list 0 and the first neighboring block referring to a reference picture in a list 1, selecting a motion vector of a second neighboring block among the neighboring blocks as a basic motion vector, and determining the prediction motion vector of the current block using the determined basic motion vector; and determining a motion vector of the current block using the prediction motion vector of the current block.
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公开(公告)号：US11343510B2
公开(公告)日：2022-05-24
申请号：US16967041
申请日：2019-04-03
发明人： Akhil Konda , Anubhav Singh , Sri Nitchith Akula , Chirag Mahesh Kumar Pujara , Raj Narayana Gadde , Amith Dsouza , Ramkumaar Kk , Nishant Sharma , Woongil Choi , Kwangpyo Choi
IPC分类号： H04B1/66 , H04N19/14 , H04N19/117 , H04N19/15 , H04N19/17 , H04N19/46 , H04N19/597 , H04N21/234
摘要： Provided are a method and an apparatus for determining an optimal rotation angle during compression of a spherical multimedia content where the processor may receive first multimedia content corresponding to the spherical multimedia content, generate a plurality of second multimedia contents based on the first multimedia content by rotating the first multimedia content to a plurality of rotation angles, perform an edge analysis on each of the plurality of the second multimedia contents, identify the number of edges aligned to one of a vertical axis or a horizontal axis based on the edge analysis, select second multimedia content with the maximum number of edges, and determine an optimal rotation angle.
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公开(公告)号：US11170473B2
公开(公告)日：2021-11-09
申请号：US17080543
申请日：2020-10-26
发明人： Youngo Park , Yumi Sohn , Myungjin Eom , Kwangpyo Choi
摘要： 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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公开(公告)号：US10825139B2
公开(公告)日：2020-11-03
申请号：US16781083
申请日：2020-02-04
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11748847B2
公开(公告)日：2023-09-05
申请号：US17385995
申请日：2021-07-27
发明人： Youngo Park , Yumi Sohn , Myungjin Eom , Kwangpyo Choi
CPC分类号： G06T3/4046 , H04L65/70 , H04L65/762 , H04L65/80 , H04N19/85
摘要： 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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公开(公告)号：US11720997B2
公开(公告)日：2023-08-08
申请号：US16599291
申请日：2019-10-11
发明人： Minseok Choi , Kwangpyo Choi , Jaehwan Kim
CPC分类号： G06T3/4046 , G06N3/02 , H04N19/33 , H04N19/42 , H04N19/85
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions to obtain image data corresponding to a first image that is downscaled from an original image by using first parameters of a first filter kernel included in a first deep neural network (DNN), reconstruct a second image corresponding to the first image, based on the obtained image data, and obtain a third image that is upscaled from the reconstructed second image, by performing an operation between the reconstructed second image and second parameters of a second filter kernel included in a second DNN corresponding to the first DNN. Each of the second parameters is represented by a product of a scale factor and one among integer values, and each of the integer values is 0 or ±2n, where n is an integer.
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公开(公告)号：US20220232237A1
公开(公告)日：2022-07-21
申请号：US17713693
申请日：2022-04-05
发明人： Woongil Choi , Minwoo Park , Kwangpyo Choi , Kiho Choi
IPC分类号： H04N19/46 , H04N19/189 , H04N19/184 , H04N19/176
摘要： An image decoding method may include: receiving a bitstream generated as a result of encoding an image sequence; obtaining, from a sequence parameter set of the bitstream, a first tool set index indicating a tool allowed to decode the bitstream among a plurality of tools; obtaining, from the sequence parameter set, tool flags based on the tool flags, identifying a tool that has been used to encode the image sequence among the plurality of tools; and reconstructing the image sequence based on the identified tool, wherein values of the tool flags are set according to a value of the first tool set index.
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公开(公告)号：US20220138904A1
公开(公告)日：2022-05-05
申请号：US17575691
申请日：2022-01-14
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11200639B1
公开(公告)日：2021-12-14
申请号：US17237775
申请日：2021-04-22
发明人： Jaehwan Kim , Youngo Park , Kwangpyo Choi
摘要： An artificial intelligence (AI) encoding apparatus includes a processor configured to execute one or more instructions stored in the AI encoding apparatus to: input, to a downscale deep neural network (DNN), a first reduced image downscaled from an original image and a reduction feature map having a resolution lower than a resolution of the original image; obtain a first image AI-downscaled from the original image in the downscale DNN; generate image data by performing a first encoding process on the first image; and output the image data.
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公开(公告)号：US11170472B2
公开(公告)日：2021-11-09
申请号：US17080501
申请日：2020-10-26
发明人： Youngo Park , Yumi Sohn , Myungjin Eom , Kwangpyo Choi
摘要： 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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