-
11.发明公开公开(公告)号：US20240013449A1
公开(公告)日：2024-01-11
申请号：US18473944
申请日：2023-09-25
Inventor： Joo-Young LEE , Se-Yoon JEONG , Hyoung-Jin KWON , Dong-Hyun KIM , Youn-Hee KIM , Jong-Ho KIM , Tae-Jin LEE , Jin-Soo CHOI
IPC: G06T9/00 , G06T3/40 , G06V10/764 , G06V10/82 , G06V10/44
CPC classification number: G06T9/002 , G06T3/4046 , G06V10/764 , G06V10/82 , G06V10/454
Abstract: An encoding apparatus extracts features of an image by applying multiple padding operations and multiple downscaling operations to an image represented by data and transmits feature information indicating the features to a decoding apparatus. The multiple padding operations and the multiple downscaling operations are applied to the image in an order in which one padding operation is applied and thereafter one downscaling operation corresponding to the padding operation is applied. A decoding method receives feature information from an encoding apparatus, and generates a reconstructed image by applying multiple upscaling operations and multiple trimming operations to an image represented by the feature information. The multiple upscaling operations and the multiple trimming operations are applied to the image in an order in which one upscaling operation is applied and thereafter one trimming operation corresponding to the upscaling operation is applied.
-
12.发明公开公开(公告)号：US20230281960A1
公开(公告)日：2023-09-07
申请号：US18112403
申请日：2023-02-21
Applicant: Electronics and Telecommunications Research Institute , UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
Inventor： Youn-Hee KIM , Se-Yoon JEONG , Ji-Hoon DO , Joo-Young LEE , Hyoung-Jin KWON , Dong-Hyun KIM , Jong-Ho KIM , Sung-Chang LIM , Woong LIM , Jin-Soo CHOI , Tae-Jin LEE , Hui-Yong KIM , Chang-Kyun CHOI , Jung-Heum KANG , Sung-Ho BAE , Hye-Won JEONG
IPC: G06V10/771 , G06T3/40 , G06T9/00 , G06V10/28 , G06V10/82
CPC classification number: G06V10/771 , G06T3/4053 , G06T9/00 , G06V10/28 , G06V10/82
Abstract: Disclosed herein is an encoding method. The encoding method includes extracting a feature map from an input image, determining an encoding feature map based on the extracted feature map, generating a converted feature map by performing conversion on the encoding feature map, and performing encoding on the converted feature map.
-
公开(公告)号：US20230070216A1
公开(公告)日：2023-03-09
申请号：US17896958
申请日：2022-08-26
Applicant: Electronics and Telecommunications Research Institute , UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
Inventor： Ji-Hoon DO , Hyoung-Jin KWON , Dong-Hyun KIM , Youn-Hee KIM , Jong-Ho KIM , Joo-Young LEE , Woong LIM , Se-Yoon JEONG , Jin-Soo CHOI , Tae-Jin LEE , Seong-Bae RHEE , Kyu-Heon KIM , Jun-Sik KIM
Abstract: Disclosed herein are a method, an apparatus and a storage medium for processing a feature map. An encoding method for a feature map includes configuring a feature frame for feature maps, and generating encoded information by performing encoding on the feature frame. A decoding method for a feature map includes reconstructing a feature frame by performing decoding on encoded information, and reconstructing feature maps using the feature frame. A feature frame is configured using feature maps, and compression using a video compression codec or a deep learning-based image compression method is applied to the feature frame.
-
公开(公告)号：US20220277491A1
公开(公告)日：2022-09-01
申请号：US17615519
申请日：2020-05-29
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
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.
-
Patent Agency Ranking
公开(公告)号：US20220180569A1
公开(公告)日：2022-06-09
申请号：US17542002
申请日：2021-12-03
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
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.
-
19.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.
-
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.
-
-
-
-
-
-
-
-
-
Search Results
24
records
(took 0.027 seconds)
