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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：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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公开(公告)号：US20240372982A1
公开(公告)日：2024-11-07
申请号：US18292869
申请日：2022-07-26
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , HANBAT NATIONAL UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
Inventor： Woong LIM , Hyoung-Jin KWON , Dong-Hyun KIM , Youn-Hee KIM , Jong-Ho KIM , Ji-Hoon DO , Joo-Young LEE , Se-Yoon JEONG , Jin-Soo CHOI , Tae-Jin LEE , Hae-Chul CHOI , Dae-Hyeok GWON , Hee-Ji HAN
IPC: H04N19/105 , H04N19/176 , H04N19/88
Abstract: Disclosed therein are a method, an apparatus, and a storage medium for image encoding/decoding. Templating matching is used for prediction for a target block. Prediction information to be applied to encoding of the target block is determined, and prediction for the target block that uses the determined prediction information is performed. The prediction information includes a list and multiple candidates in the list. When the multiple candidates in the list are configured, template matching between blocks may be used. A candidate selected from among multiple candidates configured using template matching is used for prediction for the target block.
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公开(公告)号：US20240095963A1
公开(公告)日：2024-03-21
申请号：US18463051
申请日：2023-09-07
Inventor： Jooyoung LEE , Se-Yoon JEONG , Youn-Hee KIM , Jin-Soo CHOI
Abstract: Disclosed herein are a method, apparatus, and storage medium for image encoding/decoding. Selective compression learning of latent representations for variable-rate image compression is used for the method, apparatus, and storage medium. A selective compression method that partially encodes latent representations in a completely generalized manner for deep-learning-based variable-rate image compression is disclosed in embodiments. The methods of the embodiments adaptively determine essential representation elements for compression at different target quality levels.
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10.发明申请公开(公告)号：US20230052774A1
公开(公告)日：2023-02-16
申请号：US17782568
申请日：2020-12-07
Inventor： Youn-Hee KIM , Seung-Hyun CHO , Hyunsuk KO , Hyoung-Jin KWON , Dong-Hyun KIM , Jong-Ho KIM , Joo-Young LEE , Se-Yoon JEONG , Tae-Jin LEE , Jin-Soo CHOI
IPC: H04N19/30 , H04N19/119 , H04N19/17 , H04N19/147 , H04N19/14 , H04N19/42
Abstract: Disclosed herein are a video-decoding method and apparatus and a video encoding method and apparatus, and more particularly a method and an apparatus which perform region-differential image encoding/decoding using a recovered image. In accordance with an encoding method according to an embodiment, a recovered low-quality image is generated by performing encoding on an original image and a recovered high-quality image is generated using the recovered low-quality image. An image is segmented into multiple regions, and encoded reconstruction information for generating a reconstructed high-quality image is generated by performing encoding on the image.
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