MediaBrain: Annotating Videos based on Brain-Computer Interaction.
Mensch & Computer(2012)
摘要
Adding notes to time segments on a video timeline makes it easier to search, find, and playback important segments of the video. Various approaches have been explored to annotate videos (semi) automatically to summarize videos. In this research we investigate the feasibility of implicitly annotating videos based on brain signals retrieved from a Brain-Computer Interface (BCI) headset. The signals provided by the BCI can reveal different information such as brain activities, facial expressions, or the level of users’ excitement. This information correlates with scenes the users watch in a video. Thus, it can be used for annotating a video and automatically generating a summary. To achieve the goal, an annotation tool called MediaBrain is developed and a user study is conducted. The result reveals that it is possible to annotate a video and select a set of highlights based on the excitement information.
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关键词
annotation,bci,video
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