Abstract
Now that everyone can easily record videos, the quantity of which is continuously increasing, research on methods for improved video retrieval is important in the contemporary world. In cases where target videos are to be identified within a large collection gathered by individuals, the appropriate information must be obtained to retrieve the correct video within a large number of similar items in the target database. The purpose of this research is to retrieve target videos in such cases by introducing an interaction, or a dialog, between the system and the user. We propose a system to retrieve videos by asking questions about the content of the videos and leveraging the user's responses to the questions. Additionally, we confirmed the usefulness of the proposed system through experiments using the dataset called AVSD which includes videos and dialogs about the videos.
Abstract (translated)
随着人们能够方便地录制视频，视频的数量不断增加，对改进视频检索方法的研究在当今世界具有重要意义。如果要在个人收集的大型集合中识别目标视频，必须获得适当的信息，以便在目标数据库中的大量类似项目中检索正确的视频。本研究的目的是在这种情况下，通过在系统和用户之间引入交互或对话来检索目标视频。我们提出了一个系统来检索视频，通过询问有关视频内容的问题并利用用户对问题的回答。此外，我们还通过使用名为avsd的数据集（其中包括视频和视频对话）进行的实验，确认了该系统的实用性。
URL
https://arxiv.org/abs/1905.02442
