Multi-clip video editing from a single viewpoint

Vineet Gandhi, Rémi Ronfard, Michael Gleicher
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引用次数: 40

Abstract

We propose a framework for automatically generating multiple clips suitable for video editing by simulating pan-tilt-zoom camera movements within the frame of a single static camera. Assuming important actors and objects can be localized using computer vision techniques, our method requires only minimal user input to define the subject matter of each sub-clip. The composition of each sub-clip is automatically computed in a novel L1-norm optimization framework. Our approach encodes several common cinematographic practices into a single convex cost function minimization problem, resulting in aesthetically pleasing sub-clips which can easily be edited together using off-the-shelf multi-clip video editing software. We demonstrate our approach on five video sequences of a live theatre performance by generating multiple synchronized subclips for each sequence.
多剪辑视频编辑从一个单一的观点
我们提出了一个框架,通过在单个静态摄像机的框架内模拟平移-倾斜-变焦摄像机的运动,自动生成适合视频编辑的多个剪辑。假设重要的演员和对象可以使用计算机视觉技术进行定位,我们的方法只需要最小的用户输入来定义每个子剪辑的主题。在一种新颖的l1范数优化框架中自动计算每个子剪辑的组成。我们的方法将几种常见的电影实践编码为单个凸成本函数最小化问题,从而产生美观的子剪辑,这些子剪辑可以使用现成的多剪辑视频编辑软件轻松地编辑在一起。我们通过为每个序列生成多个同步子剪辑来演示我们在五个现场戏剧表演视频序列上的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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