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公开(公告)号：US20240406436A1
公开(公告)日：2024-12-05
申请号：US18697343
申请日：2022-09-29
Inventor： Dong-Hyun KIM , Se-Yoon JEONG , Hyoung-Jin KWON , Youn-Hee KIM , Jong-Ho KIM , Ji-Hoon DO , Joo-Young LEE , Woong LIM , Jin-Soo CHOI , Tae-Jin LEE
IPC: H04N19/52 , H04N19/109 , H04N19/139 , H04N19/176 , H04N19/573
Abstract: Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding. In typical image encoding/decoding methods, a decoder-side motion information derivation method may be limitedly used. Therefore, the improvement of encoding efficiency attributable to the decoder-side motion information derivation method may also be limited. In embodiments, a motion information search method used in inter-prediction is disclosed. With the use of various motion search methods, encoding efficiency in inter-prediction may be improved.
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2.发明公开公开(公告)号：US20230297833A1
公开(公告)日：2023-09-21
申请号：US18306075
申请日：2023-04-24
Inventor： Seung-Hyun CHO , Youn-Hee KIM , Jin-Wuk SEOK , Joo-Young LEE , Woong LIM , Jong-Ho KIM , Dae-Yeol LEE , Se-Yoon JEONG , Hui-Yong KIM , Jin-Soo CHOI , Je-Won KANG
IPC: G06N3/08 , G06N3/04 , G06V10/82 , G06F18/214
CPC classification number: G06N3/08 , G06F18/214 , G06N3/04 , G06V10/82
Abstract: Disclosed herein are a method and apparatus for compressing learning parameters for training of a deep-learning model and transmitting the compressed parameters in a distributed processing environment. Multiple electronic devices in the distributed processing system perform training of a neural network. By performing training, parameters are updated. The electronic device may share the updated parameter thereof with additional electronic devices. In order to efficiently share the parameter, the residual of the parameter is provided to the additional electronic devices. When the residual of the parameter is provided, the additional electronic devices update the parameter using the residual of the parameter.
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公开(公告)号：US20200169726A1
公开(公告)日：2020-05-28
申请号：US16088464
申请日：2017-04-07
Inventor： Youn-Hee KIM , Jin-Wuk SEOK , Myung-Seok KI , Sung-Chang LIM , Hui-Yong KIM , Jin-Soo CHOI
IPC: H04N19/105 , H04N19/137 , H04N19/159 , H04N19/176
Abstract: Disclosed herein are a method and apparatus for deriving motion prediction information and performing encoding and/or decoding on a video using the derived motion prediction information. Each of an encoding apparatus and a decoding apparatus generates a list for inter prediction of a target block. In the generation of the list, whether motion information of a candidate block is to be added to a list is determined based on information about the target block and the motion information. When the motion information passes a motion prediction boundary check, the motion information is added to the list. By means of the motion prediction boundary check, available motion information for prediction of the target block is selectively added to the list.
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公开(公告)号：US20250113055A1
公开(公告)日：2025-04-03
申请号：US18977036
申请日：2024-12-11
Inventor： Dong-Hyun KIM , Ji-Hoon DO , Youn-Hee KIM , Se-Yoon JEONG , Hyoung-Jin KWON , Jong-Ho KIM , Joo-Young LEE , Jin-Soo CHOI , Tae-Jin LEE
IPC: H04N19/593 , G06N3/04 , H04N19/11 , H04N19/136 , H04N19/176 , H04N19/184 , H04N19/436
Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding. An intra-prediction mode for the target block is derived, and intra-prediction for the target block that uses the derived intra-prediction mode is performed. The intra-prediction mode for the target block is derived using an artificial neural network, and an MPM list for the target block is derived using information about the target block, pieces of information about blocks adjacent to the target block, and the artificial neural network. The artificial neural network outputs one or more available intra-prediction modes. Further, the artificial neural network outputs match probabilities for one or more candidate intra-prediction modes, and each of the match probabilities for the candidate intra-prediction modes indicates a probability that the corresponding candidate intra-prediction mode matches the intra-prediction mode for the target block.
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公开(公告)号：US20220092827A1
公开(公告)日：2022-03-24
申请号：US17482067
申请日：2021-09-22
Inventor： Ji-Hoon DO , Hyoung-Jin KWON , Dong-Hyun KIM , Youn-Hee KIM , Joo-Young LEE , Se-Yoon JEONG , Jin-Soo CHOI , Tae-Jin LEE , Jee-Hoon KIM , Dong-Gyu SIM , Seoung-Jun OH , Min-Hun LEE , Yun-Gu LEE , Han-Sol CHOI , Kwang-Hwan KIM
Abstract: There are provided an apparatus, method, system, and recording medium for performing selective encoding/decoding on feature information. An encoding apparatus generates residual feature information. The encoding apparatus transmits the residual feature information to a decoding apparatus through a residual feature map bitstream. The residual feature information is the difference between feature information extracted from an original image and feature information extracted from a reconstructed image. Feature information of the reconstructed image is generated using the reconstructed image. Reconstructed feature information is generated using the feature information of the reconstructed image and reconstructed residual feature information.
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Patent Agency Ranking
公开(公告)号：US20200351509A1
公开(公告)日：2020-11-05
申请号：US16760609
申请日：2018-10-30
Inventor： Joo-Young LEE , Seung-Hyun CHO , Youn-Hee KIM , Jin-Wuk SEOK , Woong LIM , Jong-Ho KIM , Dae-Yeol LEE , Se-Yoon JEONG , Hui-Yong KIM , Jin-Soo CHOI
IPC: H04N19/42 , G06N3/08 , G06N3/04 , H04N19/136
Abstract: A method and apparatus for image compression using a latent variable are provided. The multiple components of the latent variable may be sorted in order of importance. Through sorting, when the feature information of only some of the multiple components is used, the quality of a reconstructed image may be improved. In order to generate a latent variable, the components of which are sorted in order of importance, learning may be performed in various manners. Also, less important information may be eliminated from the latent variable, and processing, such as quantization, may be applied to the latent variable. Through elimination and processing, the amount of data for the latent variable may be reduced.
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公开(公告)号：US20190268594A1
公开(公告)日：2019-08-29
申请号：US16461943
申请日：2017-11-28
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , INDUSTRY-ACADEMIA COOPERATION GROUP OF SEJONG UNIVERSITY
Inventor： Sung-Chang LIM , Jung-Won KANG , Hyunsuk KO , Jin-Ho LEE , Ha-Hyun LEE , Dong-San JUN , Seung-Hyun CHO , Hui-Yong KIM , Yung-Lyul LEE , Jun-Woo CHOI , Jin-Soo CHOI , Nam-Uk KIM , Myung-Jun KIM
IPC: H04N19/117 , H04N19/132 , H04N19/44 , H04N19/80 , H04N19/176 , H04N19/513 , H04N19/19 , H04N19/122 , H04N19/70
Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus, and more particularly, a method and apparatus for performing filtering in video encoding and decoding. An encoding apparatus may perform filtering on a target, and may generate filtering information indicating whether filtering has been performed on the target. Further, the encoding apparatus may generate a bitstream including filtering information. A decoding apparatus may determine, based on filtering information, whether to perform filtering on a target, and may perform filtering on the target. The decoding apparatus may receive filtering information from the encoding apparatus through a bitstream or may derive filtering information using additional information.
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公开(公告)号：US20190246102A1
公开(公告)日：2019-08-08
申请号：US16270468
申请日：2019-02-07
Inventor： Seung-Hyun CHO , Youn-Hee KIM , Jin-Wuk SEOK , Joo-Young LEE , Woong LIM , Jong-Ho KIM , Dae-Yeol LEE , Se-Yoon JEONG , Hui-Yong KIM , Jin-Soo CHOI , Je-Won KANG , Na-Young KIM
IPC: H04N19/109 , G06N3/04 , H04N19/184 , H04N19/172 , H04N19/176
CPC classification number: H04N19/109 , G06N3/0454 , H04N19/172 , H04N19/176 , H04N19/184
Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. A virtual frame is generated by a video generation network including a generation encoder and a generation decoder. The virtual frame is used as a reference frame in inter prediction for a target. Further, a video generation network for inter prediction may be selected from among multiple video generation networks, and inter prediction that uses the selected video generation network may be performed.
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9.发明公开公开(公告)号：US20230342980A1
公开(公告)日：2023-10-26
申请号：US18305172
申请日：2023-04-21
Inventor： Youn-Hee KIM , Joo-Young LEE , Se-Yoon JEONG , Jin-Soo CHOI , Dong-Gyu SIM , Na-Seong KWON , Seung-Jin PARK , Min-Hun LEE , Han-Sol CHOI
IPC: G06T9/00 , G06T3/40 , G06V10/24 , G06V10/771
CPC classification number: G06T9/00 , G06T3/4007 , G06V10/24 , G06V10/771
Abstract: Disclosed herein are a method, an apparatus, and a storage medium for encoding/decoding a multi-resolution feature map. In an aspect, there is provided an encoding method, including extracting feature maps from an input image, performing packing on the extracted feature maps, and performing encoding on the packed feature maps, wherein the feature maps include multiple feature maps having different resolutions. In another aspect, there is provided a decoding method, including generating packed feature maps by decoding an input bitstream, and generating a multi-resolution feature map by performing unpacking on the packed feature maps, wherein the multi-resolution feature map includes multiple feature maps having different resolutions.
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10.发明公开公开(公告)号：US20230336780A1
公开(公告)日：2023-10-19
申请号：US18302719
申请日：2023-04-18
Applicant: Electronics and Telecommunications Research Institute , INDUSTRY-UNIVERSITY COOPERATION FOUNDATION KOREA AEROSPACE UNIVERSITY
Inventor： Joo-Young LEE , Youn-Hee KIM , Se-Yoon JEONG , Jin-Soo CHOI , Dong-Ha KIM , Jae-Gon KIM , Yong-Uk YOON
IPC: H04N19/597 , H04N19/30
CPC classification number: H04N19/597 , H04N19/30
Abstract: Disclosed herein are a method, an apparatus, and a storage medium for encoding/decoding a feature map for machine vision. In an embodiment, an encoding method includes generating a multi-channel feature map by aligning multiple feature maps, generating a converted feature map by performing conversion on the multi-channel feature map and performing encoding on the converted feature map.
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