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公开(公告)号：US20220224928A1
公开(公告)日：2022-07-14
申请号：US17712169
申请日：2022-04-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Heechul YANG , Minsoo PARK
IPC: H04N19/44 , H04N19/124 , H04N19/176 , H04N19/46 , H04N19/96
Abstract: Provided is an image decoding method including determining a predicted quantization parameter of a current quantization group determined according to at least one of block split information and block size information, determining a difference quantization parameter of the current quantization group, determining a quantization parameter of the current quantization group, based on the predicted quantization parameter and the difference quantization parameter of the current quantization group, and inverse quantizing a current block included in the current quantization group, according to the quantization parameter of the current quantization group.
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公开(公告)号：US20230276070A1
公开(公告)日：2023-08-31
申请号：US18195221
申请日：2023-05-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Heechul YANG , Hyunkwon Chung , Inhak Na
IPC: H04N19/59 , H04N19/124 , H04N19/169
CPC classification number: H04N19/59 , H04N19/124 , H04N19/188
Abstract: An artificial intelligence (AI) encoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to identify an object region of interest in an original image, obtain, from the original image, a plurality of original part images respectively including the object region of interest and a non-interest region, obtain a plurality of first images by performing AI scaling on the plurality of original part images through a scaling neural network (NN) that is configured to operate with NN setting information selected from among a plurality of pieces of NN setting information, at least based on whether the plurality of original part images include the object region of interest or the non-interest region, generate image data by encoding the plurality of first images, and transmit the image data, and AI data including information related to the AI scaling.
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公开(公告)号：US20220159252A1
公开(公告)日：2022-05-19
申请号：US17426981
申请日：2020-01-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Minsoo PARK , Minwoo PARK , Heechul YANG
IPC: H04N19/119 , H04N19/146 , H04N19/14 , H04N19/176
Abstract: A video decoding method includes: determining a largest size of a coding unit and a smallest size of the coding unit by using information about the largest size of the coding unit and information about the smallest size of the coding unit, the information being obtained from a bitstream; obtaining, from the bitstream, information about a largest size of a block allowed to be ternary split and information about a smallest size of the block allowed to be ternary split, determining the largest size of the block allowed to be ternary split, determining the smallest size of the block allowed to be ternary split, determining whether to ternary split a current block, and decoding blocks generated by ternary splitting the current block.
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公开(公告)号：US20210264567A1
公开(公告)日：2021-08-26
申请号：US17184250
申请日：2021-02-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Youngo PARK , Heechul YANG , Chaeeun LEE
Abstract: 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 to obtain image data generated through first encoding on a first image; obtain a second image corresponding to the first image by performing first decoding on the image data; perform pre-processing of changing a resolution of the second image, according to a pre-determined output resolution; and obtain a fourth image having the pre-determined output resolution by applying AI up-scaling based on an up-scaling deep neural network (DNN) to a third image obtained as a result of the pre-processing.
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5.发明公开公开(公告)号：US20230281755A1
公开(公告)日：2023-09-07
申请号：US18195182
申请日：2023-05-09
Applicant: SAMSUNG ELECTRONICS CO, LTD.
Inventor： Heechul YANG , Inhak NA , Hyunkwon CHUNG
CPC classification number: G06T3/4046 , G06T5/006 , G06T2207/20024
Abstract: An artificial intelligence (AI) encoding apparatus, including a memory configured to store instructions; and at least one processor configured to execute the instructions to: obtain an original image, previously-encoded frame information, and network environment information; obtain deblocking filter setting information, based on the original image, the previously-encoded frame information, and the network environment information; perform deblocking filtering to the original image, based on the deblocking filter setting information to obtain a deblocking-filtered original image; obtain an AI-downscaled first image by providing the deblocking-filtered original image a downscaling deep neural network (DNN); generate image data by performing first encoding on the AI-downscaled first image; and transmit the deblocking filter setting information, AI data including information related to the AI downscaling, and the image data
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Patent Agency Ranking
公开(公告)号：US20220224929A1
公开(公告)日：2022-07-14
申请号：US17712174
申请日：2022-04-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Heechul YANG , Minsoo PARK
IPC: H04N19/44 , H04N19/124 , H04N19/176 , H04N19/46 , H04N19/96
Abstract: Provided is an image decoding method including determining a predicted quantization parameter of a current quantization group determined according to at least one of block split information and block size information, determining a difference quantization parameter of the current quantization group, determining a quantization parameter of the current quantization group, based on the predicted quantization parameter and the difference quantization parameter of the current quantization group, and inverse quantizing a current block included in the current quantization group, according to the quantization parameter of the current quantization group.
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公开(公告)号：US20220224931A1
公开(公告)日：2022-07-14
申请号：US17712180
申请日：2022-04-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Heechul YANG , Minsoo PARK
IPC: H04N19/44 , H04N19/124 , H04N19/176 , H04N19/46 , H04N19/96
Abstract: Provided is an image decoding method including determining a predicted quantization parameter of a current quantization group determined according to at least one of block split information and block size information, determining a difference quantization parameter of the current quantization group, determining a quantization parameter of the current quantization group, based on the predicted quantization parameter and the difference quantization parameter of the current quantization group, and inverse quantizing a current block included in the current quantization group, according to the quantization parameter of the current quantization group.
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公开(公告)号：US20220224930A1
公开(公告)日：2022-07-14
申请号：US17712175
申请日：2022-04-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Heechul YANG , Minsoo Park
IPC: H04N19/44 , H04N19/124 , H04N19/176 , H04N19/46 , H04N19/96
Abstract: Provided is an image decoding method including determining a predicted quantization parameter of a current quantization group determined according to at least one of block split information and block size information, determining a difference quantization parameter of the current quantization group, determining a quantization parameter of the current quantization group, based on the predicted quantization parameter and the difference quantization parameter of the current quantization group, and inverse quantizing a current block included in the current quantization group, according to the quantization parameter of the current quantization group.
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公开(公告)号：US20220172340A1
公开(公告)日：2022-06-02
申请号：US17566283
申请日：2021-12-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Heechul YANG , Inhak Na , Hyunkwon Chung
Abstract: A method, performed by a terminal, of performing artificial intelligence (AI) decoding, including obtaining, based on a first image, image feature information of the first image, the image feature information being related to an image quality degradation; obtaining, based on the image feature information of the first image, neural network (NN) setting information of a first NN, from among NN setting information of a plurality of first NNs which are pre-stored and which correspond to a plurality of image quality degradation types; and obtaining, by using the first NN, a second image in which the image quality degradation is reduced.
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公开(公告)号：US20220036508A1
公开(公告)日：2022-02-03
申请号：US17500672
申请日：2021-10-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Youngo PARK , Heechul YANG , Chaeeun LEE
Abstract: 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 to obtain image data generated through first encoding on a first image; obtain a second image corresponding to the first image by performing first decoding on the image data; perform pre-processing of changing a resolution of the second image, according to a pre-determined output resolution; and obtain a fourth image having the pre-determined output resolution by applying AI up-scaling based on an up-scaling deep neural network (DNN) to a third image obtained as a result of the pre-processing.
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