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公开(公告)号：US20210097288A1
公开(公告)日：2021-04-01
申请号：US17018464
申请日：2020-09-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jiankang FAN , Biao WANG , Chunhua LIU
IPC: G06K9/00 , G06F16/71 , G06F16/783
Abstract: A method and an apparatus for generating a video are provided. The method may include performing, by a server, semantic analysis on an original video according to a timing characteristic of the original video, and segmenting the original video to obtain video segments with semantic information; obtaining, by the server, a video generation sequence model with a timing characteristic based on at least one previously configured video generation sequence model with a timing characteristic according to preference video information obtained from a client; and reorganizing, by the server, the video segments with the semantic information according to the video generation sequence model with the timing characteristic to obtain a target video of the client.
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公开(公告)号：US20180181796A1
公开(公告)日：2018-06-28
申请号：US15842190
申请日：2017-12-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Biao WANG , Bing YU , Chang Kyu CHOI , Deheng QIAN , Jae-Joon HAN , Jingtao XU , Yaozu AN
CPC classification number: G06K9/00288 , G06K9/00228 , G06K9/036 , G06K9/36 , G06K9/52 , G06K9/627 , G06T7/0002 , G06T2207/20081 , G06T2207/20084 , G06T2207/30168 , G06T2207/30201
Abstract: An image processing apparatus, includes an image classifier configured to determine whether an input image is a low-quality image or a high-quality image; and an image evaluator configured to determine a first predetermined number of clearest images from a plurality of low-quality images determined by the image classifier.
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公开(公告)号：US20160191517A1
公开(公告)日：2016-06-30
申请号：US14983112
申请日：2015-12-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chisung BAE , HaiBing REN , YongNan JI , Xuetao FENG , Biao WANG , Sangjoon KIM
IPC: H04L29/06
CPC classification number: H04L63/0861 , A61B5/0452 , A61B5/117 , A61B5/7246
Abstract: A method and apparatus for authenticating a user are provided. An authentication apparatus includes a data set generator configured to generate an authentication data set by extracting waveforms from a biosignal of a user, a similarity calculator configured to match each of the extracted waveforms to registered waveforms included in a registration data set, and calculate a similarity between each of the extracted waveforms and the registered waveforms, and an auxiliary similarity calculator configured to extract a representative authentication waveform indicating a representative waveform of the extracted waveforms and a representative registration waveform indicating a representative waveform of the registered waveforms, and calculate a similarity between the representative authentication waveform and the representative registration waveform.
Abstract translation: 提供了一种用于认证用户的方法和装置。 一种认证装置，包括数据组发生器，被配置为通过从用户的生物信号提取波形来生成认证数据集;相似度计算器，被配置为将每个提取的波形与注册数据集中包括的注册波形相匹配，并且计算相似度 以及辅助相似度计算器，被配置为提取表示提取的波形的代表性波形的代表性认证波形，以及表示所登记波形的代表性波形的代表登记波形，并且计算出所述波形的相似度 代表认证波形和代表性注册波形。
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公开(公告)号：US20170213071A1
公开(公告)日：2017-07-27
申请号：US15393787
申请日：2016-12-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hao FENG , Chao ZHANG , Wonjun HWANG , Biao WANG , Bing YU , Chang Kyu CHOI , Jaejoon HAN
CPC classification number: G06K9/00228 , G06K9/4652 , G06K9/6257 , G06K9/6857 , G06T7/74 , G06T2207/20016 , G06T2207/30201
Abstract: Disclosed is a face detection method and apparatus, the method including detecting a candidate area from a target image using a first sliding window moving at an interval of a first step length and detecting a face area in the candidate area using a second sliding window moving at an interval of a second step length less than the first step length.
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Patent Agency Ranking
公开(公告)号：US20200242424A1
公开(公告)日：2020-07-30
申请号：US16849015
申请日：2020-04-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Biao WANG , Chao ZHANG , Changkyu CHOI , Deheng QIAN , Jae-Joon HAN , Jingtao XU , Hao FENG
Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
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公开(公告)号：US20180157938A1
公开(公告)日：2018-06-07
申请号：US15825951
申请日：2017-11-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Biao WANG , Chao ZHANG , Changkyu CHOI , Deheng QIAN , Jae-Joon HAN , Jingtao XU , Hao FENG
CPC classification number: G06K9/66 , G06K9/42 , G06K9/6282 , G06N3/04 , G06N3/0445 , G06N3/0454 , G06N3/0472 , G06N3/08 , G06N3/084
Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
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公开(公告)号：US20180157899A1
公开(公告)日：2018-06-07
申请号：US15833224
申请日：2017-12-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao XU , Biao WANG , Yaozu AN , ByungIn YOO , Changkyu CHOI , Deheng QIAN , Jae-Joon HAN
Abstract: A method of detecting a target includes determining a quality type of a target image captured using a camera, determining a convolutional neural network of a quality type corresponding to the quality type of the target image in a database comprising convolutional neural networks, determining a detection value of the target image based on the convolutional neural network of the corresponding quality type, and determining whether a target in the target image is a true target based on the detection value of the target image.
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公开(公告)号：US20160283820A1
公开(公告)日：2016-09-29
申请号：US15172751
申请日：2016-06-03
Applicant: Samsung Electronics Co., Ltd.
Inventor： Xiaolu SHEN , Biao WANG , Xuetao FENG , Jae Joon HAN
CPC classification number: G06K9/4671 , G06K9/00281 , G06K9/6211 , G06K9/6255
Abstract: Provided are a positioning method and apparatus. The positioning method includes acquiring a plurality of positioning results including positions of key points of a facial area included in an input image, respectively using a plurality of predetermined positioning models, evaluating the plurality of positioning results using an evaluation model of the positions of the key points, and updating at least one of the plurality of predetermined positioning models and the evaluation model based on a positioning result that is selected, based on a result of the evaluating, from among the plurality of positioning results.
Abstract translation: 提供了一种定位方法和装置。 定位方法包括分别使用多个预定定位模型获取包括输入图像中包括的面部区域的关键点的位置的多个定位结果，使用键的位置的评估模型来评估多个定位结果 并且基于从多个定位结果中的基于评估结果的所选择的定位结果来更新多个预定定位模型和评估模型中的至少一个。
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公开(公告)号：US20160210500A1
公开(公告)日：2016-07-21
申请号：US14996709
申请日：2016-01-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Xuetao FENG , Hao FENG , Hongwei ZHANG , Lujin GONG , Changkyu CHOI , Jae-Joon HAN , Sungjoo SUH , Wonjun HWANG , Biao WANG
CPC classification number: G06T15/10 , G06K9/00208 , G06K9/00281 , G06K9/6209 , G06K9/621 , G06T19/20
Abstract: A method and an apparatus for adjusting a pose in a face image are provided. The method of adjusting a pose in a face image involves detecting two-dimensional (2D) landmarks from a 2D face image, positioning three-dimensional (3D) landmarks in a 3D face model by determining an initial pose of the 3D face model based on the 2D landmarks, updating the 3D landmarks by iteratively adjusting a pose and a shape of the 3D face model, and adjusting a pose in the 2D face image based on the updated 3D landmarks.
Abstract translation: 提供了一种用于调整脸部图像中姿势的方法和装置。 调整脸部图像中的姿势的方法包括从2D面部图像检测二维（2D）界标，通过基于以下方式确定3D脸部模型的初始姿态来将三维（3D）界标定位在3D脸部模型中： 2D地标，通过迭代地调整3D脸部模型的姿态和形状来更新3D地标，以及基于更新的3D地标调整2D脸部图像中的姿势。
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