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