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A Method of Video Quality Assessment for CMMB Video Test Sequences

机译:CMMB视频测试序列的视频质量评估方法

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摘要

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.
机译:由于CMMB是无线通信领域的重要应用程序-它的视频质量在广泛使用中起着至关重要的作用。在视频序列的评估中,经典方法通常在建立计算模型(例如PSNR)时采用代数方法,这常常导致视频序列号的对齐困难,并导致复杂的计算问题。本文提出了一种基于高维空间的新方法。该方法将图像视为高维空间中的点。它使用特殊的核覆盖原始图像中的某些图像点,然后将噪点图像放入空间,执行该方法以在高维空间中找到最相似的图像,并给出其相似性。实验结果表明,所提出的方法易于测量,满足实际的噪声图像序列。所提出的方法是建设性的,这项工作为视频质量评估提供了一种方法。

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