当前位置: X-MOL 学术Signal Process. Image Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Video stabilization: Overview, challenges and perspectives
Signal Processing: Image Communication ( IF 3.5 ) Pub Date : 2020-10-08 , DOI: 10.1016/j.image.2020.116015
Wilko Guilluy , Laurent Oudre , Azeddine Beghdadi

Video Stabilization (VS) has been an active area of research in the last two decades. Many approaches have been successfully proposed and it is time to take a step back and offer a glimpse and a critical look to this hot topic. Among the questions that should be answered : ”is VS a solved problem”?. Is there still room for further improvement and at which level and how? The main purpose of this contribution is to answer such questions and to provide a fairly unifying framework to allow a better understanding of the progress of this research subject with appreciable industrial and academic benefits. In this paper we focus on the main challenges, practical aspects and mathematical core concepts of the video stabilization techniques. We also put a special attention to the Video Stabilization Quality Assessment (VSQA) by introducing new methodology inspired by the research results on Image Quality Assessment (IQA) in its broad sense. Finally we also discuss some new research directions to overcome the limitations of the existing methods.



中文翻译:

视频稳定:概述,挑战和观点

在过去的二十年中,视频稳定(VS)一直是研究的活跃领域。已经成功提出了许多方法,现在应该退后一步,对这个热门话题进行一瞥和批判。在应该回答的问题中:“ VS是否解决了问题”?还有进一步改进的空间吗?在什么水平上以及如何改进?这项贡献的主要目的是回答这些问题,并提供一个相当统一的框架,以便更好地理解该研究主题的进展,并带来可观的工业和学术利益。在本文中,我们着眼于视频稳定技术的主要挑战,实用方面和数学核心概念。我们还通过引入从广义上对图像质量评估(IQA)研究结果启发的新方法,特别关注视频稳定质量评估(VSQA)。最后,我们还讨论了一些新的研究方向,以克服现有方法的局限性。

更新日期:2020-10-12
down
wechat
bug