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    魏闪闪, 谢巍, 贺志强. 数字视频稳像技术综述[J]. 计算机研究与发展, 2017, 54(9): 2044-2058. DOI: 10.7544/issn1000-1239.2017.20160078
    引用本文: 魏闪闪, 谢巍, 贺志强. 数字视频稳像技术综述[J]. 计算机研究与发展, 2017, 54(9): 2044-2058. DOI: 10.7544/issn1000-1239.2017.20160078
    Wei Shanshan, Xie Wei, He Zhiqiang. Digital Video Stabilization Techniques: A Survey[J]. Journal of Computer Research and Development, 2017, 54(9): 2044-2058. DOI: 10.7544/issn1000-1239.2017.20160078
    Citation: Wei Shanshan, Xie Wei, He Zhiqiang. Digital Video Stabilization Techniques: A Survey[J]. Journal of Computer Research and Development, 2017, 54(9): 2044-2058. DOI: 10.7544/issn1000-1239.2017.20160078

    数字视频稳像技术综述

    Digital Video Stabilization Techniques: A Survey

    • 摘要: 数字视频稳像(digital video stabilization, DVS)技术发展已历经30多年,随着设备计算能力的不断提高、算法研究的不断更新以及市场需求的不断驱动,数字视频稳像技术也随之不断发展,经历了从最初以计算简单为主的方案发展到以稳像效果显著为主的方案,再发展到计算简单并且效果显著的方案.通过对文献资料的整理分析,并根据技术发展的时间顺序,数字稳像技术被分类为传统方案和新兴方案.按照采用运动模型的不同,传统方案分为传统2D方案和传统3D方案;新兴方案分为新兴2D方案和借助传感器方案.对每类方案,首先对其采用的关键技术进行分析总结,然后列举这些关键技术在数字视频稳像中的应用实例.对数字稳像技术的发展进行了总结,最后对数字视频稳像技术的研究难点和发展趋势进行了展望.

       

      Abstract: Digital video stabilization (DVS) techniques have been developing for over 30 years. The improvement of device computing ability, the research on related algorithms as well as the market needs have always been driving the development of DVS techniques: from simple solutions aimed at computing simplicity in early years to complex solutions aimed at stabilization effect, and further to advanced solutions trying to meet both computing simplicity and stabilization effect in recent years. In this survey, we first analyze the existing DVS techniques chronologically and then classify them into two basic catalogues: traditional techniques and emerging techniques. Traditional techniques are strictly based on typical motion models and rely on image processing algorithms for motion estimation. Emerging techniques relax the motion models and introduce novel techniques for motion estimation. According to the motion model they adopt, the traditional techniques are further divided into traditional 2D techniques and traditional 3D techniques. Similarly, the emerging techniques are further divided into emerging 2D techniques and sensor-based techniques. In each technique survey, we first analyze the key techniques it relies on and then list its applications in DVS. Finally, we summarize the existing DVS techniques and look into the challenges and developing trend of DVS techniques in the future.

       

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