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公开(公告)号：US10546209B2
公开(公告)日：2020-01-28
申请号：US15835662
申请日：2017-12-08
Inventor： Seung Jae Lee , Hyung Kwan Son , Keun Dong Lee , Jong Gook Ko , Weon Geun Oh , Da Un Jung
Abstract: A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, includes extracting learning images including a target object among a plurality of learning images included in a learning database, generating additional learning images in which the target object is rotated from the learning images including the target object, and updating the learning database using the additional learning images.
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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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Patent Agency Ranking
公开(公告)号：US09972080B2
公开(公告)日：2018-05-15
申请号：US15235152
申请日：2016-08-12
Inventor： Da Un Jung , Keun Dong Lee , Seung Jae Lee , Hyung Kwan Son , Weon Geun Oh
CPC classification number: G06T7/0004 , G06F17/30256 , G06F17/30271 , G06F17/3028 , G06K9/342 , G06K9/4604 , G06K9/6218 , G06K2209/17 , G06T2207/30128
Abstract: An apparatus for food search service includes a food region extractor configured to perform detection in regions in an image where food is present and extract a plurality of candidate regions; a candidate region refiner configured to cluster the candidate regions into groups according to a ratio of overlap between the candidate regions; and a search result generator configured to determine a position of a food region and a food item from the grouped candidate regions.
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公开(公告)号：US09424466B2
公开(公告)日：2016-08-23
申请号：US14337001
申请日：2014-07-21
Inventor： Da Un Jung , Seung Jae Lee , Sung Kwan Je , Keun Dong Lee , Sang Il Na , Weon Geun Oh , Young Ho Suh , Wook Ho Son
CPC classification number: G06K9/00523 , G06F17/30256 , G06K9/00362 , G06K9/00536 , G06K2009/6213 , G06Q30/0621
Abstract: Provided are a shoe image retrieval apparatus and method using a matching pair, which can accurately retrieve image information corresponding to an inputted image from the database and provide the retrieved image information, by normalizing a correspondence relation in consideration of geometric image transformation about the matching pair and allowing a similar image to be retrieved by applying the normalized correspondence relation. It is possible to detect optimum geometric image transformation from a matching pair between the inputted shoe image and the image stored in the database and simultaneously retrieve a plurality of objects in the inputted shoe image based on the detected geometric image transformation, thereby providing an efficient shoe retrieval service.
Abstract translation: 提供一种使用匹配对的鞋图像检索装置和方法，其可以通过考虑关于匹配对的几何图像变换来归一化对应关系，从而从数据库中准确地检索与输入图像相对应的图像信息并提供检索到的图像信息 并通过应用归一化的对应关系来允许检索相似的图像。 可以从输入的鞋图像和存储在数据库中的图像之间的匹配对中检测最佳几何图像变换，并且基于检测到的几何图像变换同时检索输入的鞋子图像中的多个对象，从而提供有效的鞋 检索服务。
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公开(公告)号：US09760795B2
公开(公告)日：2017-09-12
申请号：US14265283
申请日：2014-04-29
Inventor： Seungjae Lee , Sangil Na , Keun Dong Lee , Sungkwan Je , Da-Un Jung , Weon Geun Oh , Young Ho Suh , Wookho Son
CPC classification number: G06K9/4671 , G06F17/30247
Abstract: A method for extracting features from an image for use in a computing device, the method comprising: producing Gaussian Scale Space (GSS) images in the type of a pyramid from the image inputted to the computing device; performing a Scale Normalized Laplacian Filtering on the GSS images; detecting interest points from the images that are subject to the Scale Normalized Laplacian Filtering; and extracting features of the image using the detected interest points.
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6.发明授权公开(公告)号：US09606975B2
公开(公告)日：2017-03-28
申请号：US14320362
申请日：2014-06-30
Inventor： Weon Geun Oh , Sang Il Na
CPC classification number: G06F17/241 , G06F17/30256 , G06K9/00664 , G06K2209/27
Abstract: Provided are an apparatus and method for automatically generating a visual annotation with respect to a massive image based on a visual language. The apparatus for automatically generating a visual annotation based on a visual language includes an image input unit configured to receive an input image, an image analyzing unit configured to extract feature information of the input image received by the image input unit, a searching unit configured to search a similar image with respect to the input Image and text information included in the similar image by using the feature information extracted by the image analyzing unit, and a visual annotation configuring unit configured to configure a visual annotation with respect to the input image by using the text information searched by the searching unit.
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公开(公告)号：US11341183B2
公开(公告)日：2022-05-24
申请号：US16246707
申请日：2019-01-14
Inventor： Keun Dong Lee , Seung Jae Lee , Jong Gook Ko , Hyung Kwan Son , Weon Geun Oh , Da Un Jung
IPC: G06F16/532 , G06K9/00 , G06F16/51 , G06K9/62 , G06F16/583 , G06K9/46
Abstract: An apparatus and method for searching for a building on the basis of an image and a method of constructing a building search database (DB) for image-based building search. The method includes constructing a building search DB, receiving a query image from a user terminal, detecting a region to which a building belongs in the query image, extracting features of the region detected in the query image, and searching the building search DB for a building matching the extracted features. Therefore, building search performance can be improved.
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