Current Result Document :
| 한글제목(Korean Title) |
제로-샷 학습을 이용한 비디오 프레임 보간에 대한 탐구 |
| 영문제목(English Title) |
Video Frame Interpolation Using Zero-shot Learning |
| 저자(Author) |
강동우
이상진
이현성
이상윤
Dongwoo Kang
Sangjin Lee
Hean Sung Lee
Sangyoun Lee
|
| 원문수록처(Citation) |
VOL 45 NO. 01 PP. 2140 ~ 2142 (2022. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Video frame interpolation is to synthesize the intermediate frame when consecutive frames have been provided. It requires an understanding of the complex and large motions in real-world video. AdaCoF is an algorithm of warping image for video frame interpolation. Zero-shot learning is a method of training a model with only one data rather than using prior knowledge learned with a dataset and inferring results on that data. In this paper, we propose a VFI model through zero-shot learning based on the AdaCoF algorithm. Although the performance of the model was not better than base model, it could be further developed based on this study.
|
| 키워드(Keyword) |
|
| 파일첨부 |
PDF 다운로드
|
