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公开(公告)号:US20230153965A1
公开(公告)日:2023-05-18
申请号:US18074003
申请日:2022-12-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Mengmeng Bai , Li Zuo , Wei Wen , Lei Cao , Xiansong Song , Jaekeun Na , Changwei Wang
CPC classification number: G06T5/005 , G06V10/761 , G06T3/4046 , G06V10/7715 , G06T7/74 , G06T11/40 , G06T2207/20021 , G06T2207/20084 , G06T2210/22 , G06T2210/12 , G06T2207/20081
Abstract: Methods and apparatuses for performing image processing using artificial intelligence are provided. In an embodiment, an image processing method includes acquiring a target image based on an editing operation on an original image, performing a filling processing operation on the target image to obtain a first filled image including a first target region, identifying a target patch based on the first filled image, calculating a similarity value between the target patch and at least one patch related to the first filled image using a first artificial intelligence (AI) model, determining a target residual patch corresponding to the target patch based on the similarity value and generating a processing result image based on the target residual patch.
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公开(公告)号:US20240177466A1
公开(公告)日:2024-05-30
申请号:US18368921
申请日:2023-09-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Xiansong SONG , Lei Cao , Li Zuo , Jaekeun Na , Wei Wen , Changwei Wang , Mengmeng Bai
CPC classification number: G06V10/806 , G06T7/194 , G06V10/267
Abstract: A method performed by an electronic apparatus, includes: determining a local frame sequence from a video; obtaining a feature map sequence of the local frame sequence by encoding the local frame sequence; determining a feature flow sequence of the local frame sequence based on the feature map sequence of the local frame sequence and a mask image sequence regarding an object to be removed, the mask image sequence being corresponding to the feature map sequence; obtaining an updated feature map sequence of the local frame sequence, by performing, based on the feature flow sequence, feature fusion between adjacent feature maps in the feature map sequence; and obtaining a processed local frame sequence, by decoding the updated feature map sequence of the local frame sequence.
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公开(公告)号:US11507615B2
公开(公告)日:2022-11-22
申请号:US16775712
申请日:2020-01-29
Applicant: Samsung Electronics Co., Ltd.
Inventor: Zhonghua Luo , Jiahui Yuan , Wei Wen , Zuozhou Pan , Yuanyang Xue
Abstract: A method and apparatus for image searching based on artificial intelligent (AI) are provided. The method includes obtaining first feature information by extracting features from an image based on a first neural network, obtaining second feature information corresponding to a target area of a query image by processing the first feature information based on a second neural network and at least two filters having different sizes, and identifying an image corresponding to the query image according to the second feature information.
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公开(公告)号:US10942614B2
公开(公告)日:2021-03-09
申请号:US16279567
申请日:2019-02-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Wei Wen , Guangfeng Yao , Bo Zhu
IPC: G06F3/0484 , G06F3/0481 , G06F3/0488
Abstract: A method for displaying an associated window of a terminal device is provided. The method includes for a current window displayed, determining an associated window of the current window among at least a subset of all windows of the terminal device, and displaying the associated window together with the current window, wherein content displayed in the associated window is related to content displayed in the current window. When examples of the present disclosure are employed, windows associated with each other can be displayed simultaneously, interaction between a user and the device can be reduced, and system resources of the device can be saved.
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公开(公告)号:US20250029212A1
公开(公告)日:2025-01-23
申请号:US18417629
申请日:2024-01-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Mengmeng BAI , Jiahui Yuan , Xiansong Song , Jaekeun Na , Changwei Wang , Li Zuo , Wei Wen
Abstract: A method may include acquiring a first image that is obtained by adding noise to a second image, the second image comprising a target restoration region. The method may include performing at least one first denoising process on the first image using a first artificial intelligence (AI) network to obtain a first denoising result. The method may include restoring the target restoration region based on the first denoising result using a second AI network to obtain a restored image.
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公开(公告)号:US11887218B2
公开(公告)日:2024-01-30
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
CPC classification number: G06T11/001 , G06T3/4046 , G06T5/001
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.
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公开(公告)号:US11790655B2
公开(公告)日:2023-10-17
申请号:US17136368
申请日:2020-12-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jiahui Yuan , Wei Wen , Jianhua Fan
CPC classification number: G06V20/46 , G06F18/214 , G06V10/454 , G06V10/82 , G06V20/41 , G06V20/44 , G06V40/20
Abstract: A video sampling method, including sampling a video based on a sampling window to obtain a current sequence of sampled images; acquiring action parameters corresponding to the current sequence of sampled images; adjusting the sampling window according to the action parameters; and sampling the video based on the adjusted sampling window.
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公开(公告)号:US20240412337A1
公开(公告)日:2024-12-12
申请号:US18808885
申请日:2024-08-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Mengmeng BAI , Huiling Chang , Zhuoxin Gan , Jaekeun Na , Changwei Wang , Li Zuo , Wei Wen
Abstract: A method performed by an electronic device, includes acquiring a first image comprising at least a first region and a second region and a target object to be moved in the first image from the second region to the first region; and performing target object removal processing on the first image using a first artificial intelligence (AI) network based on guidance information related to at least one of first region and the second region, wherein the second region is a region of the target object in the first image in which the target object is located prior to the removal processing.
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