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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.
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: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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4.
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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公开(公告)号:US20220201295A1
公开(公告)日:2022-06-23
申请号:US17557819
申请日:2021-12-21
Inventor: Youn-Hee KIM , Dong-Hyun KIM , Ji-Hoon DO , Se-Yoon JEONG , Hyoung-Jin KWON , Jong-Ho KIM , Joo-Young LEE , Jin-Soo CHOI , Tae-Jin LEE
IPC: H04N19/119 , H04N19/14 , H04N19/105 , H04N19/176 , G06N3/04
Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using prediction. Multiple candidate prediction images are derived, and a final prediction image is generated using the multiple prediction images. The multiple candidate prediction images may be respectively generated using different methods. The multiple candidate prediction images may be generated using neural networks. Here, the multiple candidate prediction images may be respectively derived using different values for a specific coding parameter. Multiple neural networks may use different values for the specific coding parameter. Various coding parameters related to image encoding and/or decoding may be used for embodiments.
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公开(公告)号:US20220094977A1
公开(公告)日:2022-03-24
申请号:US17479811
申请日:2021-09-20
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 , H04N19/11 , H04N19/176 , H04N19/436 , H04N19/136 , H04N19/184 , G06N3/04
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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7.
公开(公告)号:US20200175668A1
公开(公告)日:2020-06-04
申请号:US16697585
申请日:2019-11-27
Inventor: Se-Yoon JEONG , Dae-Yeol LEE , Seung-Hyun CHO , Hyunsuk KO , Youn-Hee KIM , Jong-Ho KIM , Jin-Wuk SEOK , Joo-Young LEE , Woong LIM , Hui-Yong KIM , Jin-Soo CHOI
Abstract: Disclosed herein are a method and apparatus for measuring video quality based on a perceptually sensitive region. The quality of video may be measured based on a perceptually sensitive region and a change in the perceptually sensitive region. The perceptually sensitive region includes a spatial perceptually sensitive region, a temporal perceptually sensitive region, and a spatio-temporal perceptually sensitive region. Perceptual weights are applied to a detected perceptually sensitive region and a change in the detected perceptually sensitive region. Distortion is calculated based on the perceptually sensitive region and the change in the perceptually sensitive region, and a result of quality measurement for a video is generated based on the calculated distortion.
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公开(公告)号:US20200162736A1
公开(公告)日:2020-05-21
申请号:US16684041
申请日:2019-11-14
Inventor: Jin-Wuk SEOK , Hyunsuk KO , Youn-Hee KIM , Jong-Ho KIM , Joo-Young LEE , Woong LIM , Se-Yoon JEONG , Seung-Hyun CHO , Hui-Yong KIM , Jin-Soo CHOI
IPC: H04N19/124 , H04N19/18 , H04N19/184
Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In image encoding, encoding using multiple quantization parameters is performed on a transform coefficient. Two quantized coefficients are generated through encoding that uses two quantization parameters. Based on the two quantized coefficients, a quantized coefficient difference is generated. Information about the quantized coefficient difference is transmitted from an encoding apparatus to a decoding apparatus through binary encoding. The information about the quantized coefficient difference may be selectively transmitted. By means of the information about the quantized coefficient difference, a high-quality video may be provided.
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公开(公告)号:US20220188339A1
公开(公告)日:2022-06-16
申请号:US17552328
申请日:2021-12-15
Inventor: Joo-Young LEE , Ki-Jong KOO , Ik-Kyun KIM , Dae-Sung MOON , Kyung-Min PARK
Abstract: Disclosed herein are a network environment synchronization apparatus and method. The network environment synchronization apparatus includes one or more processors, and execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to collect data from a network environment and generate a management structure in which collected data is distributed into preset respective group units, generate data discriminators for respective group units using a preset hash function, determine whether data of the management structure has changed with reference to data newly collected from the network environment based on the data discriminators, and when it is determined whether data of the management structure has changed, update the data of the management structure with the newly collected data.
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10.
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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