公开(公告)号：US20210136416A1

公开(公告)日：2021-05-06

申请号：US16768054

申请日：2018-11-27

Applicant: Electronics and Telecommunications Research Institute

Inventor： Youn-Hee KIM ,  Hui-Yong KIM ,  Seung-Hyun CHO ,  Jin-Wuk SEOK ,  Joo-Young LEE ,  Woong LIM ,  Jong-Ho KIM ,  Dae-Yeol LEE ,  Se-Yoon JEONG ,  Jin-Soo CHOI

IPC: H04N19/61 ,  H04N19/105 ,  H04N19/176 ,  G06N3/08

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. A transformed block is generated by performing a first transformation that uses a prediction block for a target block. A reconstructed block for the target block is generated by performing a second transformation that uses the transformed block. The prediction block may be a block present in a reference image, or a reconstructed block present in a target image. The first transformation and the second transformation may be respectively performed by neural networks. Since each transformation is automatically performed by the corresponding neural network, information required for a transformation may be excluded from a bitstream.

公开(公告)号：US20210084290A1

公开(公告)日：2021-03-18

申请号：US16772443

申请日：2018-12-13

Applicant: Electronics and Telecommunications Research Institute

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 ,  H04N19/176 ,  H04N19/159 ,  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.

公开(公告)号：US20190306526A1

公开(公告)日：2019-10-03

申请号：US16374601

申请日：2019-04-03

Applicant: Electronics and Telecommunications Research Institute

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 ,  H04N19/105 ,  H04N19/132 ,  G06N20/00

Abstract: Disclosed herein are an inter-prediction method and apparatus using 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.

公开(公告)号：US20180041763A1

公开(公告)日：2018-02-08

申请号：US15784623

申请日：2017-10-16

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 ,  H04N19/103 ,  H04N19/11 ,  H04N19/61 ,  H04N19/129 ,  H04N19/176 ,  H04N19/182 ,  H04N19/91 ,  H04N19/18 ,  H04N19/136 ,  H04N19/13

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.