Automatic video summarization is one of the crucial technologies to alleviate the cost of developers and end-usersto check the contents of videos. Moreover, it can also work as clues of video retrieval to only obtain required videosfrom extremely many consumer-generated videos. This paper specifically focuses on a video summarization task,which we callvideo key-frame captioning. This task requires systems to extract a predefined number of key-framesand simultaneously generate a description of the series of extracted key-frames that summarize the given video well.We introduce a formal task definition of our new task and discuss procedures for creating a dataset for evaluationof key-frame captioning tasks.
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