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1.发明申请公开(公告)号：US20230122553A1
公开(公告)日：2023-04-20
申请号：US17591445
申请日：2022-02-02
Inventor： Seung Jae LEE , Su Woong LEE , Yong Sik LEE , Ju Won LEE , Da Un JUNG , Jong Gook KO , Won Young YOO
Abstract: The present invention relates to an apparatus and method for drawing, the method comprising: inputting a drawing image; recognizing a component in the input drawing image; inferring a structure of an object based on the recognized component; and drawing the inferred structure of the object.
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公开(公告)号：US20200272863A1
公开(公告)日：2020-08-27
申请号：US16702721
申请日：2019-12-04
Inventor： Seung Jae LEE , Jong Gook KO , Keun Dong LEE , Su Woong LEE , Won Young YOO
Abstract: A fast object detection method and a fast object detection apparatus using an artificial neural network. The fast object detection method includes obtaining an input image; inputting the obtained input image into an object detection neural network using a plurality of preset bounding boxes; and detecting an object included in the input image by acquiring output data of the object detection neural network.
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公开(公告)号：US20180189571A1
公开(公告)日：2018-07-05
申请号：US15428247
申请日：2017-02-09
Inventor： Yong Seok SEO , Dong Hyuck IM , Won Young YOO , Jee Hyun PARK , Jung Hyun KIM , Young Ho SUH
IPC: G06K9/00
CPC classification number: G06K9/00744 , G06K9/00288 , G06K9/6268
Abstract: A signature actor determination method for video identification includes setting a list of actors who appear in each of a plurality of videos, generating a plurality of subsets including the actors, and determining that an actor included in a single final set indicating a first video among the plurality of subsets is a signature actor of the first video. Accordingly, video identification is possible by using just a little information.
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公开(公告)号：US20250054281A1
公开(公告)日：2025-02-13
申请号：US18610149
申请日：2024-03-19
Inventor： Sung Won MOON , Do Won NAM , Won Young YOO , Jung Soo LEE , Ji Won LEE
IPC: G06V10/774 , G06T11/00 , G06V10/776
Abstract: A method and apparatus for data augmentation based on outpainting is proposed. The method includes receiving input of image information and prompt information by an image processing apparatus, creating training data by using outpainting techniques and performing the data augmentation on the basis of the image information and the prompt information by the image processing apparatus, training an object detection model on the basis of the created training data by the image processing apparatus, evaluating performance of the object detection model by the image processing apparatus, and converting and storing performance evaluation results and the prompt information into a database by the image processing apparatus.
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公开(公告)号：US20230169709A1
公开(公告)日：2023-06-01
申请号：US17899947
申请日：2022-08-31
Inventor： Dong Hyuck IM , Jung Hyun KIM , Hye Mi KIM , Jee Hyun PARK , Yong Seok SEO , Won Young YOO
IPC: G06T11/60 , G06T11/40 , G06V40/16 , G06F3/04842 , G06F3/04845
CPC classification number: G06T11/60 , G06T11/40 , G06V40/161 , G06F3/04842 , G06F3/04845
Abstract: Provided are a face de-identification method and system and a graphical user interface (GUI) provision method for face de-identification employing facial image generation. According to the face de-identification method and system and the GUI provision method, a facial area including eyes, a nose, and a mouth in a face of a person detected in an input image is replaced with a de-identified facial area generated through deep learning to maintain the face in a natural shape while protecting the person's portrait right. Accordingly, qualitative degradation of content is prevented, and viewers' concentration on the image is increased.
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Patent Agency Ranking
公开(公告)号：US20230162409A1
公开(公告)日：2023-05-25
申请号：US17739375
申请日：2022-05-09
Inventor： Jung Jae YU , Ju Won LEE , Won Young YOO
CPC classification number: G06T11/001 , G06T7/11 , G06T3/40 , G06T2207/20084 , G06T2207/10024 , G06T2207/20081
Abstract: Provided are a system and method for generating an image implemented in the same style as a style of a single image sample based on a result of learning the single image sample, the system including: an image learning unit configured to train a deep learning network model based on an image sample of a specific style to generate a same style generative model network; and an image generating unit configured to input a layout image to the same style generative model network to generate an image having the same style as the specific style image sample while conforming to a layout structure of the layout image.
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公开(公告)号：US20210120355A1
公开(公告)日：2021-04-22
申请号：US17032995
申请日：2020-09-25
Inventor： Hye Mi KIM , Jung Hyun KIM , Jee Hyun PARK , Yong Seok SEO , Dong Hyuck IM , Won Young YOO
IPC: H04S5/00 , G10L19/008 , G10L25/30
Abstract: A method for receiving a mono sound source audio signal including phase information as an input, and separating into a plurality of signals may comprise performing initial convolution and down-sampling on the inputted mono sound source audio signal; generating an encoded signal by encoding the inputted signal using at least one first dense block and at least one down-transition layer; generating a decoded signal by decoding the encoded signal using at least one second dense block and at least one up-transition layer; and performing final convolution and resize on the decoded signal.
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公开(公告)号：US20230153351A1
公开(公告)日：2023-05-18
申请号：US17681416
申请日：2022-02-25
Inventor： Jee Hyun PARK , Jung Hyun KIM , Hye Mi KIM , Yong Seok SEO , Dong Hyuck IM , Won Young YOO
IPC: G06F16/683 , G10H1/00 , G06F16/61
CPC classification number: G06F16/683 , G10H1/0008 , G10H1/0041 , G06F16/61 , G10H2240/075 , G10H2210/031 , G10H2240/095 , G10H2240/141 , G10H2240/135 , G10H2250/311
Abstract: The present invention relates to an apparatus and method for identifying music in a content, The present invention includes extracting and storing a fingerprint of an original audio in an audio fingerprint DB; extracting a first fingerprint of a first audio in the content; and searching for a fingerprint corresponding to the fingerprint of the first audio in the audio fingerprint DB, wherein the first audio is audio data in a music section detected from the content.
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公开(公告)号：US20190213279A1
公开(公告)日：2019-07-11
申请号：US15904596
申请日：2018-02-26
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , GANGNEUNG-WONJU NATIONAL UNIVERSITY INDUSTRY ACADEMY COOPERATION GROUP
Inventor： Jung Hyun KIM , Jee Hyun PARK , Yong Seok SEO , Won Young YOO , Dong Hyuck IM , Jin Soo SEO
IPC: G06F17/30
Abstract: An apparatus and method of analyzing and identifying a song with high performance identify a subject song in which global and local characteristics of a feature vector are reflected, and quickly identify a cover song in which changes in tempo and key are reflected by using a feature vector extracting part, a feature vector condensing part, and a feature vector comparing part, and by condensing a feature vector sequence into global and local characteristics in which a melody characteristic is reflected.
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公开(公告)号：US20190179960A1
公开(公告)日：2019-06-13
申请号：US15880763
申请日：2018-01-26
Inventor： Dong Hyuck IM , Yong Seok SEO , Jung Hyun KIM , Jee Hyun PARK , Won Young YOO
Abstract: An apparatus for recognizing a person includes a content separator configured to receive contents and separate the contents into video content and audio content; a video processor configured to recognize a face from an image in the video content received from the content separator and obtain information on a face recognition section by analyzing the video content; an audio processor configured to recognize a speaker from voice data in the audio content received from the content separator and obtain information on a speaker recognition section by analyzing the audio content; and a person recognized section information provider configured to provide information on a section of the contents in which a person appears based on the information on the face recognition section and the information on the speaker recognition section.
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