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公开(公告)号:US20240071036A1
公开(公告)日:2024-02-29
申请号:US18237693
申请日:2023-08-24
Inventor: Hee-Kyung LEE , Jin-Young LEE , Hyon-Gon CHOO
CPC classification number: G06V10/273 , G06V10/225 , G06V10/77 , G06V10/7715
Abstract: Disclosed herein is a method for image preprocessing based on an object of interest. The method includes extracting an object region of interest from an input image, adjusting the object of region of interest, and adjusting a background region excluding the object region of interest.
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公开(公告)号:US20230098276A1
公开(公告)日:2023-03-30
申请号:US17951899
申请日:2022-09-23
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , THE INDUSTRY & ACADEMIC COOPERATION IN CHUNGNAM NATIONAL UNIVERSITY (IAC)
Inventor: Hee-Kyung LEE , Gi-Mun UM , Dae-Young SONG , Dong-Hyeon CHO
Abstract: Disclosed herein are a method and apparatus for generating a panoramic image. The method includes configuring a data set for training a deep learning network based on K images, extracting an encoding feature map, a skip connection feature map, and a decoding feature map based on K/2 images, among the images, estimating multiple homographies based on the encoding feature map, estimating a flow adjustment map, a preprocessing blending map, a weight map, and a post-processing blending map based on the decoding feature map, deriving a flow map based on the multiple homographies and the flow adjustment map, generating a preprocessed image based on the preprocessing blending map, generating multiple warped images based on the preprocessed image and the flow map, generating a matching image based on the warped images and the weight map, and correcting the matching image based on the matching image and the post-processing blending map.
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公开(公告)号:US20220406051A1
公开(公告)日:2022-12-22
申请号:US17845662
申请日:2022-06-21
Applicant: Electronics and Telecommunications Research Institute , Myongji University Industry and Academia Cooperation Foundation
Inventor: Jin-Young LEE , Hee-Kyung LEE , Sang-Kyun KIM
Abstract: Disclosed herein are a method and apparatus for distributed image data processing. The method for distributed image data processing includes performing machine learning on an original image to produce a plurality of different task outputs, combining the plurality of task outputs to extract at least one final output, and compressing the final output and transmitting the final output to a server.
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公开(公告)号:US20220166976A1
公开(公告)日:2022-05-26
申请号:US17534770
申请日:2021-11-24
Inventor: Hyon-Gon CHOO , Hee-Kyung LEE , Han-Shin LIM , Jeong-Il SEO , Won-Sik CHEONG
IPC: H04N19/119 , G06T7/11 , G06T7/90 , G06T7/40 , H04N19/136 , H04N19/176 , H04N19/186 , H04N19/80 , H04N19/46
Abstract: Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a segmentation map. A feature vector for an image may be extracted using a segmentation map. The image may be encoded using the segmentation map and the feature vector. An output stream from an encoding apparatus may include a video stream and a feature stream. An input stream to a decoding apparatus may include a video stream and a feature stream. The image may be reconstructed using a reconstructed segmentation map and a reconstructed feature vector.
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公开(公告)号:US20220398699A1
公开(公告)日:2022-12-15
申请号:US17839181
申请日:2022-06-13
Inventor: Hyon-Gon CHOO , Jeong-Il SEO , Jin-Young LEE , Hee-Kyung LEE , Han-Shin LIM , Won-Sik CHEONG
IPC: G06T5/00
Abstract: Disclosed herein are an image processing method and apparatus for machine vision. The image processing method for machine vision includes generating an image with machine-unrecognizable distortion based on an input image, and encoding the image with machine-unrecognizable distortion.
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公开(公告)号:US20220222774A1
公开(公告)日:2022-07-14
申请号:US17573161
申请日:2022-01-11
Inventor: Gi-Mun UM , Seong-Yong LIM , Hee-Kyung LEE
Abstract: Disclosed herein are an apparatus and method for 360-degree video stitching. The apparatus for 360-degree video stitching includes memory for storing at least one program, and a processor for executing the program, wherein the program is configured to stitch features of multiple input images based on at least one parameter included in a 360-degree stitching function description template, and then creating a single 360-degree video, the 360-degree stitching function description template includes a configuration parameter that is an array of function parameters, the configuration parameter includes a stitching parameter, a camera parameter, a feature parameter, and a projection parameter, the feature parameter includes a method for extracting respective features from multiple input images, and the projection parameter includes a projection type that is a kind of a projection plane onto which the multiple input images are projected.
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