公开(公告)号：US20240187573A1

公开(公告)日：2024-06-06

申请号：US18351009

申请日：2023-07-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Paul OH ,  Suji KIM ,  Dongwon JANG ,  Seunghoon JEE

IPC: H04N19/109 ,  H04N19/176 ,  H04N19/57

CPC classification number: H04N19/109 ,  H04N19/176 ,  H04N19/57

Abstract: A neural codec includes a first simulated predictor for predicting a first block corresponding to a target block within a current frame, wherein the first block is predicted in accordance with the target block of the to-be-predicted current frame and pixels of neighbor blocks adjacent to the target block being input to the first simulated predictor, a second simulated predictor for predicting a second block corresponding to a target block using a reference block of a frame determined based on a prediction mode, wherein the second block is predicted in accordance with the reference block of a reference frame adjacent to the current frame and the target block being input to the second simulated predictor, and a selection network configured to select, based on the prediction mode, one of the first block and the second block as a predicted block.

公开(公告)号：US20240144634A1

公开(公告)日：2024-05-02

申请号：US18296603

申请日：2023-04-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dasol HAN ,  Seungjun SHIN ,  Suji KIM ,  Dokwan OH ,  Dongwon JANG

IPC: G06V10/25 ,  G06T5/00 ,  G06V10/98

CPC classification number: G06V10/25 ,  G06T5/002 ,  G06V10/993

Abstract: An apparatus with region of interest (ROI) extraction includes: a processor configured to: generate an input image by distorting an original image comprising one or more objects; determine, based on the original image, a quality score of the input image using a machine learning model that is trained based on a mean opinion score (MOS) dataset; generate a class activation map for the input image based on the quality score of the input image; and extract an ROI from the original image based on the class activation map.

公开(公告)号：US20240412034A1

公开(公告)日：2024-12-12

申请号：US18383755

申请日：2023-10-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chansol HWANG ,  Wonseop SONG ,  Dongwon JANG ,  Young Hun SUNG ,  Dokwan OH

IPC: G06N3/04 ,  G06N3/084

Abstract: A binary neural network apparatus including a binarized last layer is provided. According to an embodiment of the present disclosure, the binary neural network apparatus includes: a binary neural network including a first layer, one or more second layers, and a third layer, wherein the one or more second layers are provided between the first layer and the third layer, and the third layer has binary input and binary weights and is configured to output a binarized bit sequence; and a non-binary converter configured to convert the binarized bit sequence into non-binary data and output the non-binary data.

公开(公告)号：US20230007964A1

公开(公告)日：2023-01-12

申请号：US17679492

申请日：2022-02-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dongwon JANG ,  Dokwan OH

IPC: H04N1/60

Abstract: A method with image transformation includes: identifying an original image; and determining a transformed image by inputting the original image to a neural network model configured to transform a color of the original image, wherein the neural network model comprises an operation block configured to perform white balancing on the original image, a correction block configured to correct a color of an output image of the operation block, and a mapping block configured to apply a lookup table to an output image of the correction block.