公开(公告)号：US20230032574A1

公开(公告)日：2023-02-02

申请号：US17965160

申请日：2022-10-13

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 ,  H04N19/70 ,  H04N19/513 ,  H04N19/19 ,  H04N19/122 ,  H04N19/176

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.

公开(公告)号：US20220277491A1

公开(公告)日：2022-09-01

申请号：US17615519

申请日：2020-05-29

Applicant: Electronics and Telecommunications Research Institute

Inventor： Joo-Young LEE ,  Seung-Hyun CHO ,  Hyunsuk KO ,  Hyoung-Jin KWON ,  Youn-Hee KIM ,  Jong-Ho KIM ,  Se-Yoon JEONG ,  Hui-Yong KIM ,  Jin-Soo CHOI

IPC: G06T9/00 ,  G06T3/40

Abstract: Disclosed herein are a method and apparatus for image compression based on machine learning using a global context. The disclosed image compression network employs an existing image quality enhancement network for an end-to-end joint learning scheme. The image compression network may jointly optimize image compression enhancement and quality enhancement. The image compression networks and image quality enhancement networks may be easily combined within a unified architecture which minimizes total loss, and may be easily jointly optimized.

公开(公告)号：US20220182618A1

公开(公告)日：2022-06-09

申请号：US17544673

申请日：2021-12-07

Applicant: Electronics and Telecommunications Research Institute ,  Korea University Research and Business Foundation

Inventor： Youn-Hee KIM ,  Se-Yoon JEONG ,  Hyoung-Jin KWON ,  Dong-Hyun KIM ,  Ji-Hoon DO ,  Joo-Young LEE ,  Jin-Soo CHOI ,  Jong-Ho KIM ,  Tae-Jin LEE ,  Dong-Wook KIM ,  Seung-Won JUNG

IPC: H04N19/117 ,  H04N19/176 ,  H04N19/196 ,  H04N19/85

Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using filtering. The image encoding method and the image decoding method perform classification on a classification unit of a target image, and perform filtering that uses a filter on the classification unit. A classification index of the classification unit is determined, and the classification index indicates a filter to be used for filtering on the classification unit, among multiple filters. The classification index is determined by various coding parameters, such as an encoding mode of the target block and an encoding mode of a neighboring block adjacent to the target block.

公开(公告)号：US20220180569A1

公开(公告)日：2022-06-09

申请号：US17542002

申请日：2021-12-03

Applicant: Electronics and Telecommunications Research Institute

Inventor： Joo-Young LEE ,  Se-Yoon JEONG ,  Hyoung-Jin KWON ,  Dong-Hyun KIM ,  Youn-Hee KIM ,  Jong-Ho KIM ,  Ji-Hoon DO ,  Jin-Soo CHOI ,  Tae-Jin LEE

IPC: G06T9/00

Abstract: Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a binary mask. An encoding method includes generating a latent vector using an input image, generating a selected latent vector component set using a binary mask, and generating a main bitstream by performing entropy encoding on the selected latent vector component set. A decoding method includes generating a selected latent vector component set including one or more selected latent vector components by performing entropy decoding on a main bitstream and generating the latent vector in which the one or more selected latent vector components are relocated by relocating the selected latent vector component set in the latent vector.

公开(公告)号：US20190149823A1

公开(公告)日：2019-05-16

申请号：US16188587

申请日：2018-11-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

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

CPC classification number: 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.

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.

公开(公告)号：US20240095963A1

公开(公告)日：2024-03-21

申请号：US18463051

申请日：2023-09-07

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jooyoung LEE ,  Se-Yoon JEONG ,  Youn-Hee KIM ,  Jin-Soo CHOI

IPC: G06T9/00 ,  G06T3/40

CPC classification number: G06T9/00 ,  G06T3/40

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.

公开(公告)号：US20230052774A1

公开(公告)日：2023-02-16

申请号：US17782568

申请日：2020-12-07

Applicant: Electronics and Telecommunications Research Institute

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.

公开(公告)号：US20220201295A1

公开(公告)日：2022-06-23

申请号：US17557819

申请日：2021-12-21

Applicant: Electronics and Telecommunications Research Institute

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.

公开(公告)号：US20220094977A1

公开(公告)日：2022-03-24

申请号：US17479811

申请日：2021-09-20

Applicant: Electronics and Telecommunications Research Institute

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.