Patent

Registered METHOD AND DEVICE FOR COMPRESSING IMAGE AND NEURAL NETWORK USING HIDDEN VARIABLE

Inventors
Lee Jooyoung, Cho Seunghyun, Jinwuk Seok, Woong Lim, Kim Younhee, Sung-Chang Lim, Dae Yeol Lee, Jeong Se Yoon, Kim Jongho, Choi Jin Soo, Kim Hui Yong
Application No.
16760609 (2018.10.30)
Publication No.
20200351509 (2020.11.05)
Registration No.
11477468 (2022.10.18)
Country
UNITED STATES
Project Code
17HR2200, Development of Audio/Video Coding and Light Field Media Fundamental Technologies for Ultra Realistic Tera-media, Choi Jin Soo
Abstract
A method and apparatus for image compression using a latent variable are provided. The multiple components of the latent variable may be sorted in order of importance. Through sorting, when the feature information of only some of the multiple components is used, the quality of a reconstructed image may be improved. In order to generate a latent variable, the components of which are sorted in order of importance, learning may be performed in various manners. Also, less important information may be eliminated from the latent variable, and processing, such as quantization, may be applied to the latent variable. Through elimination and processing, the amount of data for the latent variable may be reduced.
KSP Keywords
Feature information, Hidden variable, Latent variables, Multiple components, Reconstructed image, image Compression, neural network(NN)
Family
 
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Status Patent Country KIPRIS
Registered 은닉 변수를 이용하는 영상 및 신경망 압축을 위한 방법 및 장치 KOREA KIPRIS