实验科学与技术2025，Vol.23Issue(6)：27-33,7.DOI:10.12179/1672-4550.20240339
基于张量分解的红外机场监控视频压缩技术
Technology of Tensor Decomposition based Infrared Video Compression for Airport Surveillance Scenario
摘要
Abstract
Compared with traditional videos,infrared videos in airport surveillance scenario with a large depth of filed consist of smooth background and foreground areas with less textures,thus processing stronger temporal and spatial correlations.Although commonly used video coding tools can be utilized to compress infrared videos,they only utilize local information to reduce the redundancy,resulting in high computational complexity.Based on a global perspective of the data,this paper considers the whole infrared surveillance video as a third-order tensor,then adopts tensor decomposition for approximate representation to reduce the data volume,and finally quantizes the resulting factor matrices to further improve compression efficiency.Meanwhile,CP decomposition and Tucker decomposition are adopted to analyze and compare the compression performance of these two tensor decomposition methods.Experimental results show that,compared with HEVC,Tucker decomposition can achieve about 77.7%BD-rate savings for videos containing lots of smooth areas.For videos with complex content and significant motion,however,both CP decomposition and Tucker decomposition suffer from BD-PSNR lose of over 10 dB.Nevertheless,the encoding time of CP decomposition and Tucker decomposition is just about 0.57%and 2.25%of that of HEVC,respectively.关键词
视频压缩/红外监控视频/张量表示/张量分解/量化Key words
video compression/infrared surveillance video/tensor representation/tensor decomposition/quantization分类
信息技术与安全科学引用本文复制引用
毛敏,刘宇洋,张昆,徐昱,孙悦..基于张量分解的红外机场监控视频压缩技术[J].实验科学与技术,2025,23(6):27-33,7.基金项目
河南省教育厅重点科研项目(23A510014) （23A510014）
河南省科技计划项目(242102221046) （242102221046）
河南省高等学校重点研究项目(22A510009). （22A510009）
