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Perceptual quality and objective quality measurements of compressed videos

机译：压缩视频的感知质量和客观质量测量

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摘要

This paper firstly presents a study of video quality for H.264 compressed videos compared to MPEG-4 (simple profile) from a perceptual point of view. Traditionally, peak signal-to-noise ratio (PSNR) has been used to represent the quality of a compressed video sequence. However, PSNR has been found to correlate poorly with subjective quality ratings, particularly at much lower bitrates and low frame rates. Thus, an alternative that has been commonly used is to perform subjective test where a large number of human subjects are used to gauge the quality of a video. However, this process is not only time-consuming but also tedious and expensive to perform. Hence, this paper further proposes an objective video quality measurement method to automatically measure the perceptual quality of a stream of video images. The proposed method has been tested on multimedia videos, consisting of CIF and QCIF video sequences compressed at various bitrates (24-384 kbps) and frame rates (7.5-30 fps) using the H.264 and MPEG-4 video codecs and it is shown to give significantly better correlations to the human perception than PSNR and the video structural similarity method.
机译：本文首先从感知的角度对与MPEG-4（简单配置文件）相比的H.264压缩视频的视频质量进行了研究。传统上，峰值信噪比（PSNR）已用于表示压缩视频序列的质量。但是，已发现PSNR与主观质量等级之间的相关性很差，特别是在低得多的比特率和低帧速率下。因此，通常使用的替代方法是执行主观测试，其中使用大量的人类受试者来评估视频的质量。然而，该过程不仅耗时，而且执行起来繁琐且昂贵。因此，本文进一步提出一种客观的视频质量测量方法，以自动测量视频图像流的感知质量。该方法已在多媒体视频上进行了测试，该视频包含使用H.264和MPEG-4视频编解码器以各种比特率（24-384 kbps）和帧速率（7.5-30 fps）压缩的CIF和QCIF视频序列，与PSNR和视频结构相似性方法相比，显示与人类感知的相关性要好得多。

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