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中文摘要：
视频质量评价（VQA）的研究对于视频系统的发展起到重要作用。为了更有效地分析评价视频系统性能,本文提出了一种结合人眼视觉特性的三维小波变换（3D-DWT）客观VQA方法。首先利用3D-DWT对视频中各帧组（GoF）序列进行分解;计算分解产生的各子带序列质量并将其筛选组合得到GoF质量;再结合时域人眼视觉特性,利用各GoF的平均亮度以及运动剧烈程度等特征对各GoF质量进行加权组合,得到最终的视频质量。本文方法利用了3D-DWT进行视频时域特征的表述,在一定程度上解决了VQA时域信息描述困难的问题。在LIVE视频数据库上的实验结果表明,本文评价方法对于视频数据库中所有失真视频评价结果与其主观质量的线性相关系数（LCC）值在0.8以上,Spearman等级相关系数（SROCC）值在0.79以上。与已有相关方法相比,所提出方法更接近于主观测试结果,具有更好的评价性能。
英文摘要：
Video quality assessment（VQA）plays an important role in development of video systems.In order to analyze the performance of video systems more effectively,this paper proposes a novel VQA metric based on three dimensional discrete wavelet transform（3D-DWT）and human visual characteristics.Firstly,we utilize 3D-DWT to decompose all the groups of frames（GoF）in video sequence.Then we calculate all sub-band sequences qualities in a GoF,and select appropriate sub-band qualities to combine as the GoF quality.Finally,considering human visual characteristics in temporal domain,such as average luminance and motion intensity in each GoF,we combine the GoF qualities together as video quality.In the proposed VQA model,we use 3D-DWT to describe temporal feature in videos,which overcomes the difficult issue in temporal description to some extent.By applying the proposed model on LIVE video database,experimental results demonstrate that the linear correlation coefficient（LCC）between evaluation results and corresponding subjective qualities reaches 0.8.Meanwhile,the spearman rank order correlation coefficient（SROCC）between evaluation results and corresponding subjective qualities reaches 0.79.Compared with some other relative models,the proposed VQA model is more consistent with subjective quality and can perform much better in evaluation.
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