计算机工程与科学2018，Vol.40Issue(4)：707-711,5.DOI:10.3969/j.issn.1007-130X.2018.04.018
基于时域梯度相似度的视频质量评价模型
A video quality assessment model based on gradient similarity of temporal domain
摘要
Abstract
Video quality estimation algorithms can be used in multimedia network system optimization and the improvement of video encoding and decoding algorithms,thus they have become a popular orientation of image quality estimation in the past few years.Based on the feature similarity index for image quality assessment (FSIM),using the temporal correlation among video local multi-frames,and adopting a new 3D gradient operator to calculate the gradient similarity matrix between the original video sequence and the distorted video sequence,we present a new video quality assessment model based on gradient similarity of temporal domain (TGSM-FSIM).The test results on LIVE video data show that the proposed model conforms well to subjective video assessment,and the indexes of SROCC and PLCC are better than those of the VSSIM and VQM,two widely used video assessment algorithms.关键词
视频质量评价/时域相关性/三维梯度算子/梯度相似度Key words
video quality assessment/temporal domain correlation/three-dimensional gradient operator/gradient similarity分类
信息技术与安全科学引用本文复制引用
邱亮,夏慧明,储久良..基于时域梯度相似度的视频质量评价模型[J].计算机工程与科学,2018,40(4):707-711,5.基金项目
国家自然科学基会(61101226) （61101226）
江苏省泰州市科技发展计划项目(2014039) （2014039）
