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.

公开(公告)号：US20190215633A1

公开(公告)日：2019-07-11

申请号：US16356410

申请日：2019-03-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seung-Kwon BEACK ,  Jeong-Il SEO ,  Dae-Young JANG ,  Tae-Jin LEE ,  Yong-Ju LEE ,  Jin-Woo HONG ,  Jin-Woong KIM

IPC: H04S7/00 ,  G10L19/008

CPC classification number: H04S7/30 ,  G10L19/008 ,  H04S2400/11

Abstract: The present research relates to controlling rendering of multi-object or multi-channel audio signals. The present research provides a method and apparatus for controlling rendering of multi-object or multi-channel audio signals based on spatial cues in a process of decoding the multi-object or multi-channel audio signals. To achieve the purpose, the method suggested in the research controls rendering in a spatial cue domain in the process of decoding the multi-object or multi-channel audio signals.