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1.发明授权公开(公告)号：US11019355B2
公开(公告)日：2021-05-25
申请号：US16374601
申请日：2019-04-03
Inventor： Seung-Hyun Cho , Je-Won Kang , Na-Young Kim , Jung-Kyung Lee , Joo-Young Lee , Hyunsuk Ko , Youn-Hee Kim , Jong-Ho Kim , Jin-Wuk Seok , Dae-Yeol Lee , Woong Lim , Se-Yoon Jeong , Hui-Yong Kim , Jin-Soo Choi
IPC: H04N19/513 , G06N20/00 , H04N19/132 , H04N19/105
Abstract: An inter-prediction method and apparatus uses a reference frame generated based on deep learning. In the inter-prediction method and apparatus, a reference frame is selected, and a virtual reference frame is generated based on the selected reference frame. A reference picture list is configured to include the generated virtual reference frame, and inter prediction for a target block is performed based on the virtual reference frame. The virtual reference frame may be generated based on a deep-learning network architecture, and may be generated based on video interpolation and/or video extrapolation that use the selected reference frame.
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公开(公告)号：US11205257B2
公开(公告)日：2021-12-21
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：US10827173B2
公开(公告)日：2020-11-03
申请号：US16188587
申请日：2018-11-13
Inventor： Woong Lim , Seung-Hyun Cho , Joo-Young Lee , Youn-Hee Kim , Jin-Wuk Seok , Jong-Ho Kim , Dae-Yeol Lee , Se-Yoon Jeong , Hui-Yong Kim , Jin-Soo Choi
IPC: H04N19/124 , H04N19/70
Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In quantization and dequantization, multiple quantization methods and multiple dequantization methods may be used. The multiple quantization methods include a variable-rate step quantization method and a fixed-rate step quantization method. The variable-rate step quantization method may be a quantization method in which an increment in a quantization step depending on an increase in a value of a quantization parameter by 1 is not fixed. The fixed-rate step quantization method may be a quantization method in which the increment in the quantization step depending on the increase of the value of the quantization parameter by 1 is fixed.
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Patent Agency Ranking
公开(公告)号：US11477468B2
公开(公告)日：2022-10-18
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: H04N7/12 , H04N19/42 , H04N19/136 , G06N3/04 , G06N3/08
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：US11166014B2
公开(公告)日：2021-11-02
申请号：US16772443
申请日：2018-12-13
Inventor： Seung-Hyun Cho , Joo-Young Lee , Youn-Hee Kim , Jin-Wuk Seok , Woong Lim , Jong-Ho Kim , Dae-Yeol Lee , Se-Yoon Jeong , Hui-Yong Kim , Jin-Soo Choi
IPC: H04N19/105 , H04N19/159 , H04N19/176 , H04N19/85
Abstract: Disclosed herein are a method and apparatus for video decoding and a method and apparatus for video encoding. A prediction block for a target block is generated by predicting the target block using a prediction network, and a reconstructed block for the target block is generated based on the prediction block and a reconstructed residual block. The prediction network includes an intra-prediction network and an inter-prediction network and uses a spatial reference block and/or a temporal reference block when it performs prediction. For learning in the prediction network, a loss function is defined, and learning in the prediction network is performed based on the loss function.
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公开(公告)号：US11663476B2
公开(公告)日：2023-05-30
申请号：US16772557
申请日：2018-12-13
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: G06V10/75 , G06N3/08 , G06N3/04 , G06V10/82 , G06F18/214
CPC classification number: G06V10/751 , G06F18/214 , G06N3/04 , G06N3/08 , 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：US11412225B2
公开(公告)日：2022-08-09
申请号：US16585658
申请日：2019-09-27
Inventor： Joo-Young Lee , Seung-Hyun Cho , Seung-Kwon Beack , Hyunsuk Ko , Youn-Hee Kim , Jong-Ho Kim , Jin-Wuk Seok , Woong Lim , Se-Yoon Jeong , Hui-Yong Kim , Jin-Soo Choi
IPC: H04N19/13 , H04N19/184 , H04N19/196 , H04N19/149
Abstract: Disclosed herein is a context-adaptive entropy model for end-to-end optimized image compression. The entropy model exploits two types of contexts. The two types of contexts are a bit-consuming context and a bit-free context, respectively, and these contexts are classified depending on the corresponding context requires the allocation of additional bits. Based on these contexts, the entropy model may more accurately estimate the distribution of each latent representation using a more generalized form of entropy models, thus improving compression performance.
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8.发明授权公开(公告)号：US10484689B2
公开(公告)日：2019-11-19
申请号：US15015456
申请日：2016-02-04
Inventor： Jin-Wuk Seok , Myung-Seok Ki , Youn-Hee Kim , Hui-Yong Kim , Jin-Soo Choi
IPC: H04N19/147 , H04N19/103 , H04N19/176 , H04N19/15
Abstract: An apparatus and method perform rate-distortion optimization based on cost. The encoding apparatus selects an encoding mode to be used to encode a target block from among multiple modes and performs computation for rate-distortion optimization in the encoding mode. The encoding apparatus calculates a cost of at least one of the multiple modes in relation to the encoding of the target block, and selects the encoding mode from among the multiple modes, based on the cost.
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