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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.
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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.
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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.
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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.
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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.
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26.
公开(公告)号:US20230342980A1
公开(公告)日:2023-10-26
申请号:US18305172
申请日:2023-04-21
Inventor: Youn-Hee KIM , Joo-Young LEE , Se-Yoon JEONG , Jin-Soo CHOI , Dong-Gyu SIM , Na-Seong KWON , Seung-Jin PARK , Min-Hun LEE , Han-Sol CHOI
IPC: G06T9/00 , G06T3/40 , G06V10/24 , G06V10/771
CPC classification number: G06T9/00 , G06T3/4007 , G06V10/24 , G06V10/771
Abstract: Disclosed herein are a method, an apparatus, and a storage medium for encoding/decoding a multi-resolution feature map. In an aspect, there is provided an encoding method, including extracting feature maps from an input image, performing packing on the extracted feature maps, and performing encoding on the packed feature maps, wherein the feature maps include multiple feature maps having different resolutions. In another aspect, there is provided a decoding method, including generating packed feature maps by decoding an input bitstream, and generating a multi-resolution feature map by performing unpacking on the packed feature maps, wherein the multi-resolution feature map includes multiple feature maps having different resolutions.
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27.
公开(公告)号:US20230336780A1
公开(公告)日:2023-10-19
申请号:US18302719
申请日:2023-04-18
Applicant: Electronics and Telecommunications Research Institute , INDUSTRY-UNIVERSITY COOPERATION FOUNDATION KOREA AEROSPACE UNIVERSITY
Inventor: Joo-Young LEE , Youn-Hee KIM , Se-Yoon JEONG , Jin-Soo CHOI , Dong-Ha KIM , Jae-Gon KIM , Yong-Uk YOON
IPC: H04N19/597 , H04N19/30
CPC classification number: H04N19/597 , H04N19/30
Abstract: Disclosed herein are a method, an apparatus, and a storage medium for encoding/decoding a feature map for machine vision. In an embodiment, an encoding method includes generating a multi-channel feature map by aligning multiple feature maps, generating a converted feature map by performing conversion on the multi-channel feature map and performing encoding on the converted feature map.
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28.
公开(公告)号:US20220167000A1
公开(公告)日:2022-05-26
申请号:US17535926
申请日:2021-11-26
Inventor: Hyoung-Jin KWON , Ji-Hoon DO , Dong-Hyun KIM , Youn-Hee KIM , Jong-Ho 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
IPC: H04N19/503 , H04N19/11
Abstract: Disclosed herein are a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs preprocessing of feature map information, frame packing, frame classification, and encoding. A decoding apparatus performs decoding, frame depacking, and postprocessing in order to reconstruct feature map information. By encoding the feature map information, inter-prediction and intra-block prediction for a frame are performed. The encoding apparatus provides the decoding apparatus with a feature map information bitstream for reconstructing the feature map information along with an image information bitstream.
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29.
公开(公告)号:US20220108490A1
公开(公告)日:2022-04-07
申请号:US17495619
申请日:2021-10-06
Inventor: Hyoung-Jin KWON , Ji-Hoon DO , 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 a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs domain transformation and quantization on feature map information and image information. The encoding apparatus rearranges the result of domain transformation and quantization so as to have a form advantageous to the encoding procedure and encodes the result of rearrangement, thereby generating a bitstream. A decoding apparatus receives the bitstream, decodes the received bitstream, and performs inverse transformation, dequantization, and inverse rearrangement using information transmitted through the bitstream. The result of inverse transformation, dequantization, and inverse rearrangement is used for the machine-learning task of a neural network.
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公开(公告)号:US20210218972A1
公开(公告)日:2021-07-15
申请号:US17219964
申请日:2021-04-01
Applicant: Electronics and Telecommunications Research Institute. , Kwangwoon University Research Institute for Industry Cooperation , Industry-Academia Cooperation Group of Sejong University
Inventor: Se-Yoon JEONG , Hae-Chul CHOI , Jeong-Il SEO , Seung-Kwon BEACK , In-Seon JANG , Jae-Gon KIM , Kyung-Ae MOON , Dae-Young JANG , Jin-Woo HONG , Jin-Woong KIM , Yung-Lyul LEE , Dong-Gyu SIM , Seoung-Jun OH , Chang-Beom AHN , Dae-Yeon KIM , Dong-Kyun KIM
IPC: H04N19/159 , H04N19/91 , H04N19/182 , H04N19/13 , H04N19/18 , H04N19/176 , H04N19/129 , H04N19/61 , H04N19/11 , H04N19/103 , H04N19/136
Abstract: The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.
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