计算机科学
合成
图像稳定
计算机视觉
人工智能
平滑的
GSM演进的增强数据速率
标杆管理
移动设备
增强现实
弹道
路径(计算)
过程(计算)
图像(数学)
物理
营销
天文
业务
操作系统
程序设计语言
作者
Mingwei Cao,Liping Zheng,Wei Jia,Xiaoping Liu
标识
DOI:10.1016/j.comcom.2020.05.007
摘要
With the rapid development of edge devices such as mobile phones, in the past decade, many videos have appeared on the professional video website and they are easy to retrieve. However, most of the videos captured by mobile cameras are jittery, and even motion blurred. These low-quality videos may affect the experience of users. Thus, the problem that how to eliminate the jittery issues, and make unstable video became stable one is very urgent. To enhance the stability of low-quality video, in this paper, we propose a novel method for video stabilization. The proposed method is called SimpleStab, and consists of motion estimation, trajectory smoothing, and compositing image. The SimpleStab is not only able to process offline videos but also can deal with live video streaming due to the novel architecture. We conduct a comprehensive experiment on the benchmarking dataset and make comparison with the state-of-the-art approaches. Experimental results show that the performance of SimpleStab is superior to the state-of-the-art methods.
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