计算机工程Issue(5)：280-284,289,6.DOI:10.3969/j.issn.1000-3428.2015.05.052
基于小波域和时域的视频质量评价
Video Quality Assessment Based on Wavelet Domain and Temporal Domain
摘要
Abstract
Most video quality algorithms regard the average of all the frames of the video image quality as the quality of the video,but these methods only take the quality of the spatial image into account,ignoring the inherent characteristics of the video on the temporal domain, therefore can not accurately describe the relevance of the objective video quality assessment and subjective video quality assessment. Thinking about temporal domain characteristics of video,this paper proposes a video quality assessment algorithm based on wavelet domain and temporal domain. The image of the video is divided into the smooth region and the edge region. The two regions are applied with wavelet transform to obtain the wavelet coefficients of each region of a video frame. The frame quality is obtained by weighting the two parts of the frame. The temporal pooling is adopted to obtain the quality of the video. Experimental results on LIVE video database show that this algorithm and human subjective evaluation results have a good consistency, and Spearman Rank Order Correlation Coefficient(SROCC) value reaches 0. 788 5.关键词
视频质量评价/小波域/特征向量/区域划分/时域融合/非对称观测/感知加权Key words
video quality assessment/wavelet domain/feature vector/regional division/temporal domain fusion/asymmetric observation/perceptual weighting分类
信息技术与安全科学引用本文复制引用
戴慧慧,桑庆兵..基于小波域和时域的视频质量评价[J].计算机工程,2015,(5):280-284,289,6.基金项目
国家自然科学基金资助项目“通用无参考图像和视频质量评价方法”(61170120) （61170120）
江苏省自然科学基金资助项目“基于机器学习与融合集成的无参考图像质量评价模型及应用研究”(BK2011147) （BK2011147）
江苏省产学研前瞻性联合研究基金资助项目“基于物联网的环境智能分析与监测系统”(BY2013015-41)。 （BY2013015-41）
