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公开(公告)号：US20170199900A1
公开(公告)日：2017-07-13
申请号：US15332136
申请日：2016-10-24
Inventor： Seung Jae LEE , Keun Dong LEE , Hyung Kwan SON , Weon Geun OH , Da Un JUNG , Young Ho SUH , Wook Ho SON , Won Young YOO , Gil Haeng LEE
CPC classification number: G06F16/5866 , G06F16/248 , G06F16/29 , G06F16/51 , G06K9/00704 , G06K9/4671 , G06K9/52 , G06K9/6201 , G06K9/6211 , G06K9/6267 , G06K2009/4666 , G06N20/00 , G06T2207/20021 , G06T2207/20076 , G06T2215/16
Abstract: A server for providing a city street search service includes a street information database configured to store city street images, a feature selection unit configured to select at least one feature according to a predetermined criterion when a city street image for searching and two or more features for the image are received from a user terminal, a candidate extraction unit configured to extract a candidate list of a city street image, a feature matching unit configured to match the city street image for registration included in the extracted candidate list and the at least one selected feature, and a search result provision unit configured to provide the user terminal with a result of the matching as result information regarding the city street image for searching.
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公开(公告)号：US20150278605A1
公开(公告)日：2015-10-01
申请号：US14598136
申请日：2015-01-15
Inventor： Yong Seok SEO , Jung Hyun KIM , Jee Hyun PARK , Young Suk YOON , Won Young YOO , Young Ho SUH , Wook Ho SON
CPC classification number: G06K9/00711 , G06K9/00765 , G06K9/4604 , G06T11/60
Abstract: An apparatus and method for managing a representative video image, which selects representative images based on human visual aesthetic criteria and creates an album by arranging the selected representative images in an album template with various layouts, based on the region of interest (ROI).
Abstract translation: 一种用于管理代表性视频图像的装置和方法，其基于人类视觉审美标准选择代表性图像，并且基于感兴趣区域（ROI），通过将所选择的代表图像布置在具有各种布局的相册模板中来创建相册。
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13.发明申请公开(公告)号：US20150154656A1
公开(公告)日：2015-06-04
申请号：US14543974
申请日：2014-11-18
Inventor： Young Suk YOON , Jee Hyun PARK , Jung Hyun KIM , Yong Seok SEO , Won Young YOO , Young Ho SUH
IPC: G06Q30/02
CPC classification number: G06Q30/0276
Abstract: Provided is an advertisement service system for providing additional information regarding an item as an advertisement target. The system for providing additional information of an advertisement includes an original advertisement server configured to provide original advertisement content and identification information regarding the original advertisement content, and a processing server configured to generate processed advertisement content by inserting the identification information into the original advertisement content, extract feature information with respect to the original advertisement content, and store at least one of the identification information and the feature information, together with additional information with respect to the original advertisement content.
Abstract translation: 提供了一种用于提供关于作为广告目标的项目的附加信息的广告服务系统。 用于提供广告的附加信息的系统包括原始广告服务器，被配置为提供关于原始广告内容的原始广告内容和识别信息，以及处理服务器，被配置为通过将标识信息插入原始广告内容来生成处理后的广告内容， 提取关于原始广告内容的特征信息，以及存储关于原始广告内容的附加信息的识别信息和特征信息中的至少一个。
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14.发明公开公开(公告)号：US20240177507A1
公开(公告)日：2024-05-30
申请号：US18499717
申请日：2023-11-01
Inventor： Dong Hyuck IM , Jung Hyun KIM , Hye Mi KIM , Jee Hyun PARK , Yong Seok SEO , Won Young YOO
IPC: G06V20/70 , G06F40/40 , G06T11/00 , G06V10/774 , G06V10/82
CPC classification number: G06V20/70 , G06F40/40 , G06T11/00 , G06V10/774 , G06V10/82
Abstract: An apparatus for generating text from an image may comprise: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction, wherein the processor is further configured to generate encoding information for an image based on the image and extract text information related to content of the image based on a degree of association with the encoding information.
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Patent Agency Ranking
公开(公告)号：US20240096020A1
公开(公告)日：2024-03-21
申请号：US18468162
申请日：2023-09-15
Inventor： Jung Jae YU , Jae Hwan KIM , Ju Won LEE , Won Young YOO
Abstract: A method of generating a moving viewpoint motion picture, which is performed by a processor that executes at least one instruction stored in a memory, may comprise: obtaining an input image; generating a trimap from the input image; generating a depth map using the input image; generating a foreground mesh/texture map model based on a foreground alpha map obtained based on the trimap and foreground depth information obtained based on the trimap and the depth map; and generating a moving viewpoint motion picture based on the foreground mesh/texture map model.
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公开(公告)号：US20220012589A1
公开(公告)日：2022-01-13
申请号：US17370585
申请日：2021-07-08
Inventor： Jung Jae YU , Jong Gook KO , Won Young YOO , Keun Dong LEE , Su Woong LEE , Seung Jae LEE , Yong Sik LEE , Da Un JUNG
Abstract: A data learning device in a deep learning network characterized by a high image resolution and a thin channel at an input stage and an output stage and a low image resolution and a thick channel in an intermediate deep layer includes a feature information extraction unit configured to extract global feature information considering an association between all elements of data when generating an initial estimate in the deep layer; a direct channel-to-image conversion unit configured to generate expanded data having the same resolution as a final output from the generated initial estimate of the global feature information or intermediate outputs sequentially generated in subsequent layers; and a comparison and learning unit configured to calculate a difference between the expanded data generated by the direct channel-to-image conversion unit and a prepared ground truth value and update network parameters such that the difference is decreased.
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公开(公告)号：US20210103721A1
公开(公告)日：2021-04-08
申请号：US16696354
申请日：2019-11-26
Inventor： Dong Hyuck IM , Jung Hyun KIM , Hye Mi KIM , Jee Hyun PARK , Yong Seok SEO , Won Young YOO
Abstract: Disclosed are a learning data generation method and apparatus needed to learn animation characters on the basis of deep learning. The learning data generation method needed to learn animation characters on the basis of deep learning may include collecting various images from an external source using wired/wireless communication, acquiring character images from the collected images using a character detection module, clustering the acquired character images, selecting learning data from among the clustered images, and inputting the selected learning data to an artificial neural network for character recognition.
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公开(公告)号：US20190392591A1
公开(公告)日：2019-12-26
申请号：US16201048
申请日：2018-11-27
Inventor： Ji Won LEE , Do Won NAM , Sung Won MOON , Jung Soo LEE , Won Young YOO , Ki Song YOON
Abstract: Disclosed herein is a method of detecting a moving object including: predicting an optical flow in an input image clip using a first deep neural network which is trained to predict an optical flow in an image clip including a plurality of frames; obtaining an optical flow image which reflects a result of the optical flow prediction; and detecting a moving object in the image clip on the basis of the optical flow image using a second deep neural network trained using the first deep neural network.
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19.发明申请公开(公告)号：US20190278978A1
公开(公告)日：2019-09-12
申请号：US15992398
申请日：2018-05-30
Inventor： Jee Hyun PARK , Jung Hyun KIM , Yong Seok SEO , Won Young YOO , Dong Hyuck IM
Abstract: A method for determining a video-related emotion and a method of generating data for learning video-related emotions include separating an input video into a video stream and an audio stream; analyzing the audio stream to detect a music section; extracting at least one video clip matching the music section; extracting emotion information from the music section; tagging the video clip with the extracted emotion information and outputting the video clip; learning video-related emotions by using the at least one video clip tagged with the emotion information to generate a video-related emotion classification model; and determining an emotion related to an input query video by using the video-related emotion classification model to provide the emotion.
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