A Method of Video Quality Assessment for CMMB Video Test Sequences

Since CMMB is an important application in wireless communication field -- its video quality plays a critical role for widely use. In assessment of video sequence, classic method often applies algebra method in making a compute model, such as PSNR, which often result in difficult for alignment of video sequence numbers and leads to complex computation problems. In this paper, it presents a novel method bases in high dimensional space. The method considers an image as a point in high dimensional space. It uses special kernels to covering some image points from original image, then a noised image is put into space, the method is performed to find the most similar one in high-dimensional space and gives its similarity. Experimental results show that the propose method make the measurement easily and meet the real noised image sequence. The proposed method is constructive and this work provides a way for video quality assessment.