论文标题
视频摘要概述
Video Summarization Overview
论文作者
论文摘要
随着网络上视频捕获设备和应用程序的广泛增长，为用户提供理想的视频内容的要求更高。视频摘要通过创建一个紧凑的视频摘要来迅速掌握视频内容。已经为自动视频摘要提供了很多努力，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述。该调查涵盖了早期研究以及利用深度学习技术的最新方法。我们描述了视频摘要方法及其基本概念。我们还讨论基准和评估。我们概述了先前的工作如何解决评估和详细介绍评估协议的利弊。最后但并非最不重要的一点是，我们讨论了这一领域的公开挑战。
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.
