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公开(公告)号：US10565435B2
公开(公告)日：2020-02-18
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
IPC: G06K9/00 , G06K9/66 , G06K9/62 , G06F16/71 , G06F16/783
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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公开(公告)号：US11106942B2
公开(公告)日：2021-08-31
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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Patent Agency Ranking
公开(公告)号：US08873863B2
公开(公告)日：2014-10-28
申请号：US13651271
申请日：2012-10-12
Inventor： Jee Hyun Park , Yong Suk Yoon , Sang Kwang Lee , Jung Hyun Kim , Seung Jae Lee , Sung Min Kim , Yong Seok Seo , Jung Ho Lee , Young Ho Suh , Won Young Yoo
IPC: G06K9/46
CPC classification number: G06K9/6201
Abstract: The present disclosure relates to a system and a method for finger printing for comics. A system for searching comics according to the present disclosure includes: a fingerprint database storing fingerprints extracted from comics, a comics fingerprint extraction unit extracting fingerprints configured of at least one of box frames, cuts, and speech bubbles included in input comic images, a fingerprint based candidate group search unit searching candidate groups among comics stored in the fingerprint database using the extracted fingerprints, and a similarity measuring unit measuring similarity between the searched candidate groups and the comic images corresponding to the extracted fingerprints.
Abstract translation: 本公开涉及用于漫画的手指打印的系统和方法。 根据本公开的用于搜索漫画的系统包括：存储从漫画提取的指纹的指纹数据库，漫画指纹提取单元，提取由输入漫画图像中包括的框框，剪切和语音气泡中的至少一个配置的指纹，指纹 使用所提取的指纹，在存储在指纹数据库中的漫画中搜索候选组的基于候选组的搜索单元，以及测量所搜索的候选组与所提取的指纹对应的漫画之间的相似度的相似度测量单元。
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公开(公告)号：US12100071B2
公开(公告)日：2024-09-24
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 , G06T3/40 , G06T7/11 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084
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：US11182651B2
公开(公告)日：2021-11-23
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：US10915574B2
公开(公告)日：2021-02-09
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
IPC: G06K9/00 , G06F16/783 , G10L17/10 , G10L17/00
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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公开(公告)号：US10430459B2
公开(公告)日：2019-10-01
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
IPC: G06F17/30 , G06F16/58 , G06N20/00 , G06F16/29 , G06F16/51 , G06F16/248 , G06K9/52 , G06K9/62 , G06K9/00 , G06K9/46
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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