公开(公告)号：US20210152799A1

公开(公告)日：2021-05-20

申请号：US17097320

申请日：2020-11-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu PARK ,  Junghye MIN ,  Kwangpyo CHOI ,  Kyungah KIM ,  Tejas NAIR ,  Yumi SOHN

IPC: H04N9/68 ,  G06T5/00 ,  G06N3/04 ,  H04N9/73

Abstract: A display apparatus and a controlling method thereof are disclosed. The display apparatus includes: a memory storing one or more instructions; and a processor configured to execute the stored one or more instructions to: obtain encoded data of a first digital image and artificial intelligence (AI) meta-information indicating a specification of a deep neural network (DNN), obtain a second digital image corresponding to the first digital image by decoding the encoded data, obtain a light signal converted from the second digital image according to a previously determined electro-optical transfer function (EOTF), and obtain a display signal by processing the light signal by using an opto-optical transfer function (OOTF) and a high dynamic range (HDR) DNN set according to the AI meta-information.

公开(公告)号：US20210127135A1

公开(公告)日：2021-04-29

申请号：US17081364

申请日：2020-10-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jongseok LEE ,  Youngo PARK ,  Pilkyu PARK ,  Yumi SOHN

IPC: H04N19/59 ,  H04N19/61 ,  G06N3/04 ,  G06T3/40 ,  H04N19/172

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.

公开(公告)号：US20220030260A1

公开(公告)日：2022-01-27

申请号：US17498859

申请日：2021-10-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu PARK ,  Youngo PARK ,  Jongseok LEE ,  Yumi SOHN ,  Myungjin EOM

IPC: H04N19/30 ,  H04N19/42 ,  H04N19/172 ,  H04N19/146 ,  H04N19/70

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.

公开(公告)号：US20200177898A1

公开(公告)日：2020-06-04

申请号：US16743613

申请日：2020-01-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu PARK ,  Youngo Park ,  Jongseok Lee ,  Yumi Sohn ,  Myungjin Eom

IPC: H04N19/30 ,  H04N19/146 ,  H04N19/70 ,  H04N19/42 ,  H04N19/172

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.

公开(公告)号：US20230074023A1

公开(公告)日：2023-03-09

申请号：US17876043

申请日：2022-07-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jongseok LEE ,  Youngo PARK ,  Pilkyu PARK ,  Yumi SOHN

IPC: H04N19/59 ,  H04N19/61 ,  H04N19/172 ,  G06T3/40 ,  G06N3/04

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.

公开(公告)号：US20210176490A1

公开(公告)日：2021-06-10

申请号：US17181744

申请日：2021-02-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jongseok LEE ,  Youngo PARK ,  Pilkyu PARK ,  Yumi SOHN

IPC: H04N19/59 ,  H04N19/61 ,  G06T3/40 ,  H04N19/172 ,  G06N3/04

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.

公开(公告)号：US20210044813A1

公开(公告)日：2021-02-11

申请号：US17080827

申请日：2020-10-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu PARK ,  Youngo PARK ,  Jongseok LEE ,  Yumi SOHN ,  Myungjin EOM

IPC: H04N19/30 ,  H04N19/172 ,  H04N19/70 ,  H04N19/42 ,  H04N19/146

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.

公开(公告)号：US20200260093A1

公开(公告)日：2020-08-13

申请号：US16860563

申请日：2020-04-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu PARK ,  Youngo PARK ,  Jongseok LEE ,  Yumi SOHN ,  Myungjin EOM

IPC: H04N19/30 ,  H04N19/146 ,  H04N19/70 ,  H04N19/42 ,  H04N19/172

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.