数据采集与处理2017，Vol.32Issue(5)：1061-1068,8.DOI:10.16337/j.1004-9037.2017.05.024
显著度和运动特性加权的视频质量评价方法
Saliency and Motion Weighed Video Quality Assessment
摘要
Abstract
To evaluate accurately the video quality and make it consistent with the subjective evaluation result,a video quality assessment method based on saliency region and motion characteristics weighting is proposed in this paper.This method is based on traditional structural similarity index measurement (SSIM) and makes some improvement.The spatial and temporal saliency is firstly extracted by spectrum analysis and visual attention model combined with motion characteristics,respectively.Then the frame saliency can be extracted by dynamic fusion of temporal and spatial saliency.Finally,the quality assessment index for entire video frame can be got by frame saliency weighted SSIM.The results of experiment on LIVE VQA standard data set show that this index is more close to objective assessment on video quality from human visual system.关键词
人眼视觉系统/显著区域/时空显著度/运动特性/结构相似性指数Key words
human visual system/region of saliency/spatio-temporal saliency/motion characteristics/structural similarity index分类
信息技术与安全科学引用本文复制引用
周莺,张基宏,梁永生..显著度和运动特性加权的视频质量评价方法[J].数据采集与处理,2017,32(5):1061-1068,8.基金项目
深圳信息职业技术学院校级科研培育项目(QN201718)资助项目 （QN201718）
深圳市科技计划项目(JCYJ20160608151239996)资助项目. （JCYJ20160608151239996）
