With the broad growth of video capturing devices and applications on the web, it is more demanding to provide desired video content for users efficiently. Video summarization facilitates quickly grasping video content by creating a compact summary of videos. Much effort has been devoted to automatic video summarization, and various problem settings and approaches have been proposed. Our goal is to provide an overview of this field. This survey covers early studies as well as recent approaches which take advantage of deep learning techniques. We describe video summarization approaches and their underlying concepts. We also discuss benchmarks and evaluations. We overview how prior work addressed evaluation and detail the pros and cons of the evaluation protocols. Last but not least, we discuss open challenges in this field.
翻译:随着视频捕捉装置和网上应用程序的广泛增长,为用户提供所需视频内容的要求要高得多。视频总结有助于通过制作视频摘要迅速掌握视频内容。已经为自动视频总结做出了大量努力,并提出了各种问题设置和方法。我们的目标是提供该领域的概览。这项调查涵盖早期研究以及利用深层学习技术的最新方法。我们描述了视频总结方法及其基本概念。我们还讨论基准和评价。我们审视了先前的工作如何处理评价问题,并详细说明了评价协议的利弊。最后但并非最不重要的一点是,我们讨论了该领域的公开挑战。