基于视频自然统计特性的无参考移动终端视频质量评价

No-reference Mobile Video Quality Assessment Based on Video Natural Statistics

针对无线网络中压缩编码及无线丢包等因素对移动终端视频的降质影响,在分析视频相邻帧差信号空-时感知统计特性的基础上,该文提出一种基于视频自然统计特性的无参考移动终端视频质量评价(NMVQA)算法。进行视频帧差空-时自然统计规律分析,确定移动终端视频失真类型对视频相邻帧差系数统计特性的影响;计算水平、垂直、主对角线和副对角线方向的帧差相邻系数乘积分布参数的时域统计特性;以多尺度帧差相邻系数的时域统计特性相关程度来衡量移动终端视频失真程度。在LIVE移动视频数据库上的实验结果表明,该文所提算法的结果与主观评价具有较好的一致性,能够准确反映人类对视频失真程度的视觉感知效果,可为实时在线调节信源码率和无线信道参数提供参考依据。

Considering the influence of compression and wireless channel packet-loss on mobile video quality in wireless network, analyzing the space-time perceptual statistics of the differences between video adjacent frames, a No-reference Mobile Video Quality Assessment （NMVQA） algorithm is proposed based on video natural statistics. First, the influences of various video distortion type on the statistical characteristics of difference coefficients between video adjacent frames are analyzed in terms of the natural statistical regularities of video frame difference. Second, the temporal change of the distribution parameters with respect to the products of adjacent frame differences computed along horizontal, vertical and diagonal spatial orientations are calculated. Finally, the distortion degree of mobile video is measured by the correlation between the multi-scale temporal changes of statistical characteristics of difference coefficients between video adjacent frames. Experimental results in the LIVE mobile video database show that NMVQA is well consistent with subjective assessment results, and can reflect human subjective feeling well. NMVQA can evaluate the performance of real-time online adjustment of the source rate and wireless channel parameters.