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公开(公告)号：US20230030841A1
公开(公告)日：2023-02-02
申请号：US17967654
申请日：2022-10-17
发明人： Woongil CHOI , Gahyun Ryu , Minsoo Park , Minwoo Park , Seungsoo Jeong , Kwangpyo Choi , Kiho Choi , Narae Choi , Anish Tamse , Yinji Piao
IPC分类号： H04N19/174 , H04N19/172 , H04N19/119 , H04N19/105 , H04N19/70
摘要： Provided is a video decoding method including obtaining identification information of a first tile and identification information of a last tile from a bitstream, wherein the first and last tiles are included in a first slice, determining an index difference between the first tile and the last tile, based on a result of comparing the identification information of the first tile with the identification information of the last tile, determining the number of tiles included in the first slice, by using the index difference between the first tile and the last tile, and decoding a plurality of tiles included in the first slice according to an encoding order by using the number of tiles included in the first slice, the identification information of the first tile, and the identification information of the last tile.
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公开(公告)号：US11288770B2
公开(公告)日：2022-03-29
申请号：US17079773
申请日：2020-10-26
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：US11170534B2
公开(公告)日：2021-11-09
申请号：US17082848
申请日：2020-10-28
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US11122267B2
公开(公告)日：2021-09-14
申请号：US16671286
申请日：2019-11-01
发明人： Pilkyu Park , Kiljong Kim , Kwangpyo Choi
IPC分类号： H04N19/124 , H04N19/196 , H04N19/119 , G06K9/62 , G06N3/08 , G06N20/10 , H04N19/176
摘要： Provided is a method of encoding an image, the method including: obtaining a plurality of patches from the image; obtaining a plurality of transform coefficient groups respectively corresponding to the plurality of patches; inputting, to a machine learning model, input values corresponding to transform coefficients included in each of the plurality of transform coefficient groups; quantizing transform coefficients corresponding to the image by using a quantization table output from the machine learning model; and generating a bitstream including data generated as a result of the quantizing and information about the quantization table.
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公开(公告)号：US10825141B1
公开(公告)日：2020-11-03
申请号：US16843515
申请日：2020-04-08
发明人： Youngo Park , Kwangpyo Choi , Yumi Sohn , Sungchan Kim , Myungjin Eom
摘要： Provided is a decoding apparatus including: a communication interface configured to receive AI encoding data generated as a result of artificial intelligence (AI) down-scaling and first encoding of an original image; a processor configured to divide the AI encoding data into image data and AI data; and an input/output (I/O) device, wherein the processor is further configured to: obtain a second image by performing first decoding on a first image obtained by performing AI down-scaling on the original image, based on the image data; and control the I/O device to transmit the second image and the AI data to an external apparatus. In some embodiments, the external apparatus performs an AI upscaling of the second image using the AI data, and displays the resulting third image.
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公开(公告)号：US11636626B2
公开(公告)日：2023-04-25
申请号：US17100212
申请日：2020-11-20
发明人： Sangwook Baek , Minsu Cheon , Yongsup Park , Jaeyeon Park , Kwangpyo Choi
IPC分类号： G06K9/62 , G06T9/00 , H04N19/30 , H04N19/136 , G06V10/82 , G06V10/764 , H04N19/20 , G06V20/60 , G06T7/10 , G06V10/70 , G06V10/72 , G06F18/2415 , G06N7/01 , G06V10/774 , G06V10/44 , G06V20/00 , G06V20/70
摘要： An image providing apparatus configured to generate, by using a first artificial intelligence (AI) network, AI metadata including class information and at least one class map, in which the class information includes at least one class corresponding to a type of an object among a plurality of predefined objects included in a first image and the at least one class map indicates a region corresponding to each class in the first image, generate an encoded image by encoding the first image, and output the encoded image and the AI metadata through the output interface.
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公开(公告)号：US11616988B2
公开(公告)日：2023-03-28
申请号：US17286743
申请日：2019-09-26
发明人： Quockhanh Dinh , Youngo Park , Kwangpyo Choi
IPC分类号： H04N19/85 , H04N19/132 , H04N19/184 , G06N3/02
摘要： Proposed are a method and apparatus for evaluating the quality of an image, the method including obtaining blocks each having a predetermined size by splitting a target image for evaluating a quality and a reference image that is to be compared with the target image, determining sensitivity information and quality assessment information of each of the blocks by inputting the blocks to a video quality assessment network, and determining a final image quality assessment score of the target image by combining the pieces of quality assessment information of the blocks with each other, based on the pieces of sensitivity information of the blocks.
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8.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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