一种用于分析帧丢失引起的质量下降的混合视频质量度量
A hybrid video quality metric for analyzing quality degradation due to frame drop
摘要：
在过去的十年中，不断发展的互联网技术提供了平台，共享多媒体数据之间的不同社区。由于最终用户是关注视觉信息质量的人类主体，因此通常希望视频具有良好的恢复感知质量，从而产生了质量评估的需要。本文提出了一种全参考混合视频质量度量，它能够分析视频质量的空间或时间（帧丢失）或时空失真的视频序列。仿真结果表明，该方法能有效地分析图像质量的下降，更接近于人类视觉系统的发展
英文摘要：
In last decade, ever growing internet technologies provided platform to share the multimedia data among different communities. As the ultimate users are human subjects who are concerned about quality of visual information, it is often desired to have good resumed perceptual quality of videos, thus arises the need of quality assessment. This paper presents a full reference hybrid video quality metric which is capable to analyse the video quality for spatially or temporally (frame drop) or spatio-temporally distorted video sequences. Simulated results show that the metric efficiently analyses the quality degradation and more closer to the developed human visual system
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
