  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.
