In order to detect real-time video streaming in the sender or an intermediate mode and monitor the quality of networks,this paper developed a mobile video satisfaction model based on spatial-temporal complexity in compressed-domain.The model extracted percentage of 4 × 4 block and DC coefficient from Ⅰ-frame to represent the texture information,and extracted the foreground region from P-frame by contrasting the motion vector of current block and the whole frame,used foreground motion to represent the temporal complexity.Then it established the video satisfaction model for coding distortion and transmission distortion respectively by considering the spatial-temporal complexity.Experimental results show that the R-square between the observed value and the estimated value are 0.912 and 0.930,and the root mean square error (RMSE) are 0.189 and 0.102.The proposed model has advantages of low computational cost and better performance than previous models,it can be used in the video quality assessment system in real-time.%为了实现在视频发送端或中间传输节点实时评估用户感知质量和在中间节点通过视频传输质量来监控网络质量,提出一种基于时空复杂度的实时视频满意度评估模型.利用Ⅰ帧中4×4块所占比例和亮度信息代表视频空间复杂度,并通过P帧宏块运动矢量大小区分出前景和背景,以前景区域的运动矢量表征时间复杂度,将空间复杂度和时间复杂度相结合分别建立编码失真视频满意度模型和传输失真视频满意度模型.结果表明,提出的模型预测值和主观测试值之间的相关系数R-square分别为0.912和0.930,均方根误差RMSE分别为0.189和0.102.该模型运算复杂度低,可为实时视频质量评估系统的建立提供参考价值.
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