公开(公告)号：US20240187581A1

公开(公告)日：2024-06-06

申请号：US18421082

申请日：2024-01-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Minsoo PARK ,  Kyungah KIM ,  Quockhanh DINH ,  Minwoo PARK ,  Kwangpyo CHOI ,  Yinji PIAO

IPC: H04N19/117 ,  H04N19/124 ,  H04N19/137 ,  H04N19/159 ,  H04N19/176 ,  H04N19/82

CPC classification number: H04N19/117 ,  H04N19/124 ,  H04N19/137 ,  H04N19/159 ,  H04N19/176 ,  H04N19/82

Abstract: An image processing method for artificial intelligence (AI)-based filtering includes: obtaining motion information regarding inter prediction of a current block of a current reconstructed image, based on the motion information regarding the inter prediction, determining at least one reference reconstructed image regarding the current reconstructed image, based on the motion information and the at least one reference reconstructed image, determining at least one reference block, by inputting the current block and the at least one reference block to a neural network, obtaining an output block corresponding to the current block, and based on the output block, obtaining a modified current reconstructed image, wherein the neural network is trained using training data including the current block, the at least one reference block, and the output block, to reduce an error between the current block and an original block corresponding to the current block.

公开(公告)号：US20220132001A1

公开(公告)日：2022-04-28

申请号：US17512338

申请日：2021-10-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Quockhanh DINH ,  Kyonghwan JIN ,  Youngo PARK ,  Kwangpyo CHOI

IPC: H04N5/217 ,  G06K9/62 ,  G06T5/00 ,  G06T7/90 ,  G06T3/40 ,  G06T5/20 ,  H04N5/247 ,  G06N20/00

Abstract: A method includes obtaining, by a second processor of the electronic device, from a first processor of the electronic device, a control signal for obtaining image data, loading any one learning model of at least one learning model into a memory, obtaining, by using the camera module, raw image data of the object, from light reflected from the object, the raw image data being configured to have a specified color array consisting of a plurality of colors with respect to a plurality of pixels, obtaining, by using the loaded any one learning model, a color data set with respect to the plurality of pixels from the obtained raw image data, the color data set including a plurality of pieces of color data classified according to the plurality of colors, and obtaining the noise-reduced image data of the object by using the obtained color data set.

公开(公告)号：US20220078451A1

公开(公告)日：2022-03-10

申请号：US17299193

申请日：2019-12-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Woongil CHOI ,  Gahyun RYU ,  Minsoo PARK ,  Minwoo PARK ,  Seungsoo JEONG ,  Kwangpyo CHOI ,  Kiho CHOI ,  Narae CHOI ,  Anish TAMSE ,  Yinji PIAO

IPC: H04N19/174 ,  H04N19/119 ,  H04N19/70 ,  H04N19/172 ,  H04N19/105

Abstract: 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.

公开(公告)号：US20210390662A1

公开(公告)日：2021-12-16

申请号：US17330809

申请日：2021-05-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaehwan KIM ,  Youngo PARK ,  Kwangpyo CHOI

IPC: G06T3/40 ,  G06T3/00 ,  H04N7/01 ,  H04N7/14

Abstract: Provided is a method of adaptively performing artificial intelligence (AI) downscaling on an image during a video telephone call of a user terminal. The method includes obtaining, from an opposite user terminal, AI upscaling support information of the opposite user terminal that is a target of a video telephone call, determining whether the user terminal is to perform AI downscaling on an original image, based on the AI upscaling support information, based on determining that the user terminal is to perform AI downscaling on the original image, obtaining a first image by AI downscaling the original image using a downscaling deep neural network (DNN), generating image data by performing first encoding on the first image, and transmitting AI data including information related to the AI downscaling and the image data.

公开(公告)号：US20250166291A1

公开(公告)日：2025-05-22

申请号：US19030776

申请日：2025-01-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sunyoung JEON ,  Jungmin LEE ,  Kwangpyo CHOI

IPC: G06T15/20 ,  G06T7/00 ,  G06T17/00

Abstract: A method and electronic apparatus for three-dimensional (3D) reconstruction of an object by using view synthesis are provided. The method includes obtaining source images of a scene including an object, generating a target viewpoint based on a spatial distribution of source viewpoints corresponding to the source images, generating a target image corresponding to the target viewpoint by performing the view synthesis, and generating a 3D model of the object by 3D reconstruction based on the source images and the target image.

公开(公告)号：US20240129546A1

公开(公告)日：2024-04-18

申请号：US18372409

申请日：2023-09-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Quockhanh DINH ,  Kyungah KIM ,  Minsoo PARK ,  Minwoo PARK ,  Kwangpyo CHOI ,  Yinji PIAO

IPC: H04N19/85 ,  H04N19/176

CPC classification number: H04N19/85 ,  H04N19/176

Abstract: An artificial intelligence (AI)-based image decoding method and an apparatus performing the AI-based image decoding method are provided. According to the AI-based image decoding method, a transform block for a residual block of a current block is obtained from a bitstream, a transform kernel for the transform block is generated by applying, to a neural network, a prediction block for the current block, neighboring pixels of the current block, and coding context information, the residual block is obtained by applying the generated transform kernel to the transform block, and the current block is reconstructed by using the residual block and the prediction block.

公开(公告)号：US20240073425A1

公开(公告)日：2024-02-29

申请号：US18237150

申请日：2023-08-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Quockhanh DINH ,  Hyungmin ROH ,  Minwoo PARK ,  Kwangpyo CHOI

IPC: H04N19/139 ,  H04N19/172 ,  H04N19/42 ,  H04N19/52

CPC classification number: H04N19/139 ,  H04N19/172 ,  H04N19/42 ,  H04N19/52

Abstract: An image encoding method based on artificial intelligence (AI) includes obtaining motion vector feature data of a current frame by inputting the current frame and a reference frame to a motion vector encoder and applying a plurality of resolution scales to the current frame and the reference frame via the motion vector encoder; obtaining a current motion vector by inputting the motion vector feature data to a motion vector decoder; obtaining a current predicted image based on the current motion vector and the reference frame; and generating a bitstream based on the motion vector feature data and the current predicted image.

公开(公告)号：US20210142445A1

公开(公告)日：2021-05-13

申请号：US17091889

申请日：2020-11-06

Applicant: SAMSUNG ELECTRONICS CO,. LTD.

Inventor： Quockhanh DINH ,  Kwangpyo CHOI ,  Yongsup PARK ,  Jaeyeon PARK

IPC: G06T3/40 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04

Abstract: An artificial intelligence (AI) decoding apparatus obtains image data corresponding to a first image, which is AI-downscaled from an original image by an AI encoding apparatus by using a first deep neural network (DNN); reconstructs a second image corresponding to the first image, based on the image data; and obtain a third image, which is AI-upscaled from the second image, convolution is performed based on the second image and second parameters of a filter kernel included in a second DNN, wherein each of the second parameters is an integer value, and the second parameters are determined as values associated with first parameters of a filter kernel included in the first DNN. Embodiments use memory-efficient values with respect to filter kernels. Parameters used to obtain the memory-efficient integer values may be obtained via joint training between the first DNN and the second DNN.

公开(公告)号：US20210134020A1

公开(公告)日：2021-05-06

申请号：US17147954

申请日：2021-01-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Quockhanh DINH ,  Minseok CHOI ,  Kwangpyo CHOI

IPC: G06T9/00 ,  G06T3/40 ,  G06K9/62 ,  H04N19/85 ,  G06N3/02

Abstract: Provided is an artificial intelligence (AI) decoding apparatus including a memory storing one or more instructions; and a processor configured to execute the one or more instructions to, when an image is input to a second DNN including a plurality of layers, obtain first result values based on an operation between the image and a first filter kernel and obtain second result values based on an operation between the image and a second filter kernel, from a first layer including the first and second filter kernels from among the plurality of layers, perform normalization by transforming the first result values into first values by using a first scale factor, and, perform normalization by transforming the second result values into second values by using a second scale factor, transform the first values and the second values into integer values included in a preset range.

公开(公告)号：US20210112275A1

公开(公告)日：2021-04-15

申请号：US16970564

申请日：2019-04-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Ramkumaar KK ,  Sri Nitchith AKULA ,  Chirag Mahesh Kumar PUJARA ,  Anubhav SINGH ,  Akhil KONDA ,  Raj Narayana GADDE ,  Amith DSOUZA ,  Nishant SHARMA ,  Kwangpyo CHOI ,  Woongil CHOI

IPC: H04N19/597 ,  H04N13/139 ,  H04N19/14

Abstract: Provided are methods and apparatus for determining an adjustment parameter during encoding of a spherical multimedia content which comprises finding the region of maximum concentrated energy is concentrated in the generated energy map of the spherical multimedia content, measuring the width of the maximum concentrated energy region in the generated energy map, and deriving optimal adjustment parameter from the width of the maximum concentrated energy region in the generated energy map.