双域无参考视频质量评价算法

为了提高视频质量评价的精确度,降低计算复杂度,提出了一种双域无参考视频质量评价算法.在压缩域,利用从码流中提取的编码信息,结合视频内容复杂度来计算视频相似度;在像素域,结合人类视觉系统的特性,通过块效应和模糊效应评估来计算视频失真度;最后,综合视频相似度和失真度得出视频客观质量.文中选用LIVE Video QualityDatabase对算法效果进行了评估,结果表明:该算法的预测精确性和单调性分别达到0.801 3和0.786 1,优于全部10种对比的视频客观质量评价方法;同时,该算法具有较低的计算复杂度,可以满足实时应用要求.

A Two-Domain No-Reference Video Quality Assessment Algorithm

In order to improve the accuracy and reduce the computational complexity of video quality assessment,a two-domain no-reference video quality assessment algorithm is proposed.In this algorithm,first,encoding information is extracted from the bitstream and video similarity is calculated according to the complexity of video contents in the compressed domain.Then,by taking into consideration the characteristics of human visual system,the video distortion is calculated by measuring the influence of blockiness and the blur artifacts in the pixel domain.Thus,the video quality is assessed according to the video similarity and the video distortion.The proposed algorithm is finally tested on the LIVE Video Quality Database.The results show that the proposed algorithm,which possess a prediction accuracy and a monotonicity respectively up to 0.8013 and 0.7861,is better than the existing ten video quality assessment techniques,and that it meets the requirements of real-time application because it is of low computational complexity.