网络安全与数据治理2025，Vol.44Issue(3)：22-26,5.DOI:10.19358/j.issn.2097-1788.2025.03.004
基于边缘增强和多尺度时空重组的视频预测方法
A video prediction method based on edge enhancement and multi-scale spatio-temporal reorganisation
摘要
Abstract
Aiming at the current video prediction algorithms with blurred details and low accuracy in generating video frames,a video prediction method based on edge enhancement and multiscale spatio-temporal reorganisation is proposed.Firstly,the video frame is divided into high-frequency information and low-frequency information through the frequency domain separation tech-nique,and the two are targeted separately.Secondly,a high-frequency edge enhancement module is designed to focus on the learning and optimisation of high-frequency edge features.At the same time,a multi-scale spatio-temporal restructuring mod-ule is introduced to target the low-frequency structural information and deeply excavate its spatio-temporal dependence.Ulti-mately,the high and low frequency features are fully fused and used to generate high-quality predictive video frames.The exper-imental results show that compared with the existing advanced algorithms,the proposed method achieves an improvement in pre-diction performance,which fully validates its effectiveness.关键词
视频预测/频域分离/边缘增强/多尺度时空重组Key words
video prediction/frequency domain separation/edge enhancement/multi-scale spatio-temporal reorganisation分类
信息技术与安全科学引用本文复制引用
吴孔贤,郑明魁..基于边缘增强和多尺度时空重组的视频预测方法[J].网络安全与数据治理,2025,44(3):22-26,5.基金项目
福建省科技重大专项专题(2022HZ026007) （2022HZ026007）
