公开(公告)号：US20240357594A1

公开(公告)日：2024-10-24

申请号：US18671362

申请日：2024-05-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Danye WU ,  Yuhan HU ,  Jian YANG ,  Ming JIN ,  Yelong ZHANG

IPC: H04W72/20 ,  H04W72/12 ,  H04W72/512

CPC classification number: H04W72/20 ,  H04W72/12 ,  H04W72/512

Abstract: A method performed by a first network node in a communication system for supporting ultra-reliable and low latency communication (URLLC) in open radio access network (O-RAN) is provided. The method includes receiving a control plane message of a first communication from a second network node, wherein the control plane message comprises preemption type information and information related to the first communication preempting resource layers of a second communication, and determining resources for the first communication based on the control plane message.

公开(公告)号：US20230138049A1

公开(公告)日：2023-05-04

申请号：US17982111

申请日：2022-11-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jianxing ZHANG ,  Zikun LIU ,  Zheng XIE ,  Jian YANG ,  Hyungju CHUN ,  Wei WEN

IPC: G06V10/54 ,  G06V10/77 ,  G06V10/771 ,  G06V10/50 ,  G06V10/98 ,  G06V10/80 ,  G06V40/16 ,  G06T5/00

Abstract: The present disclosure relates to an image processing method and device, an electronic apparatus and a storage medium, and the image processing method includes: acquiring an input image; detecting a target area in the input image; and processing the target area, wherein the processing of the target area includes: obtaining a feature map of the target area, rearranging feature blocks in the feature map in a feature space, and obtaining an output image after the target area is processed based on the rearranged feature blocks and the feature map.

公开(公告)号：US20220076459A1

公开(公告)日：2022-03-10

申请号：US17528051

申请日：2021-11-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jianxing ZHANG ,  Zikun LIU ,  Chunyang LI ,  Jian YANG ,  Wei WEN

IPC: G06T11/00 ,  G06T5/00 ,  G06T3/40

Abstract: The disclosure provides an image optimization method, system, and storage medium. The image optimization method includes extracting texture quality information from an input image. The texture quality information indicates a spatial distribution of texture quality in the input image. The image optimization method also includes performing, according to the texture quality information, texture restoration on a set region in the input image to generate a texture restored image.