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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：US20190332625A1
公开(公告)日：2019-10-31
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 , G06K9/46 , G06K9/62 , G06F16/583 , G06F16/51
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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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：US20150139555A1
公开(公告)日：2015-05-21
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：US20180315108A1
公开(公告)日：2018-11-01
申请号：US15959454
申请日：2018-04-23
Inventor： Weon Geun OH , Jong Gook KO , Da Un JUNG , Seung Jae LEE , Hyung Kwan SON , Keun Dong LEE
Abstract: An omni-channel management method includes receiving a distribution channel information and a product purchase information from each of a plurality of distribution channels, and integrating the received distribution channel information and the product purchase information; applying an image identification technology and a voice identification technology to retrieve and integrate information related to a product; receiving and integrating product information from a manufacturer, a seller, or a web site; verifying consistency of the integrated product information by checking whether detailed information included in the integrated product information is related to a same product; and providing the consistency-secured product information to a consumer and a plurality of distribution channels.
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Patent Agency Ranking
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：US20160275124A1
公开(公告)日：2016-09-22
申请号：US15074252
申请日：2016-03-18
Inventor： Seungjae LEE , Keun Dong LEE , Weon Geun OH , DA-UN JUNG , Sungkwan JE
IPC: G06F17/30
CPC classification number: G06F16/29 , G06F16/5838
Abstract: Provided is a visual search system. The visual search system according to an embodiment of the inventive concept may include a database that stores characteristic information for a visual search, and a visual search update server that updates the DB based on an image of a target captured by a moving object or a fixed object. According to an embodiment of the inventive concept, it is possible to efficiently update a DB for a visual search because images captured by not only the moving object but also the fixed object are used.
Abstract translation: 提供了一种视觉搜索系统。 根据本发明构思的实施例的视觉搜索系统可以包括存储用于视觉搜索的特征信息的数据库，以及基于由移动对象捕获的目标或固定的目标的图像来更新DB的视觉搜索更新服务器 目的。 根据本发明构思的实施例，可以有效地更新用于视觉搜索的数据库，因为不仅使用移动对象而且使用固定对象捕获的图像。
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公开(公告)号：US20150242703A1
公开(公告)日：2015-08-27
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.
Abstract translation: 一种用于从用于计算设备的图像中提取特征的方法，所述方法包括：从输入到所述计算设备的图像生成金字塔类型的高斯比例空间（GSS）图像; 对GSS图像执行缩放归一化拉普拉斯滤波; 从经受缩放归一化拉普拉斯滤波的图像中检测兴趣点; 以及使用检测到的兴趣点提取图像的特征。
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公开(公告)号：US20220222525A1
公开(公告)日：2022-07-14
申请号：US17554870
申请日：2021-12-17
Inventor： Su Woong LEE , Seungjae LEE , Jong-Gook KO , Wonyoung YOO , Jung Jae YU , Keun Dong LEE , Yongsik LEE , Da-Un JUNG
Abstract: Provided are a method and system for training a dynamic deep neural network. The method for training a dynamic deep neural network includes receiving an output of a last layer of the deep neural network and outputting a first loss, receiving an output of a routing module according to an input class of the deep neural network and outputting a second loss, calculating a third loss based on the first loss and the second loss, and updating a weight of the deep neural network by using the third loss.
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公开(公告)号：US20210350241A1
公开(公告)日：2021-11-11
申请号：US17242604
申请日：2021-04-28
Inventor： Seungjae LEE , Jong-Gook KO , Keun Dong LEE , Su Woong LEE , Yongsik LEE , Da-Un JUNG , Wonyoung YOO
Abstract: An apparatus and method for searching a neural network architecture may be disclosed. The apparatus may include an architecture searcher and an architecture evaluator. The architecture searcher may search for a topology between nodes included in a basic cell of a network, search for an operation to be applied between the nodes after searching for the topology, and determine the basic cell. The architecture evaluator may evaluate performance of the determined basic cell.
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