등록
[6GV] 중요도 기반 정렬 은닉벡터를 이용한 영상 압축 방법 및 장치
- 발명자
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이주영, 조승현, 석진욱, 김연희, 임웅, 임성창, 정세윤, 김종호, 이대열, 김휘용, 최진수
- 출원번호
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16760609 (2018.10.30)
- 공개번호
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20200351509 (2020.11.05)
- 등록번호
- 11477468 (2022.10.18)
- 출원국
- 미국
- 협약과제
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17HR2200, [통합과제] 초실감 테라미디어를 위한 AV부호화 및 LF미디어 원천기술 개발,
최진수
- 초록
- 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 제안 키워드
- Feature information, Hidden variable, Image Compression, Latent Variable, Multiple components, neural network, reconstructed image
- 패밀리
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