MediaBrain: Annotating Videos based on Brain-Computer Interaction
dc.contributor.author | Sahami Shirazi, Alireza | de_DE |
dc.contributor.author | Funk, Markus | de_DE |
dc.contributor.author | Pfleiderer, Florian | de_DE |
dc.contributor.author | Glück, Hendrik | de_DE |
dc.contributor.author | Schmidt, Albrecht | de_DE |
dc.contributor.editor | Reiterer, Harald | |
dc.contributor.editor | Deussen, Oliver | |
dc.date.accessioned | 2017-11-22T15:00:48Z | |
dc.date.available | 2017-11-22T15:00:48Z | |
dc.date.issued | 2012 | |
dc.description.abstract | Adding notes to time segments on a video timeline makes it easier to search, find, and play-back important segments of the video. Various approaches have been explored to annotate videos (semi) automatically to summarize videos. In this research we investigate the feasi-bility 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 infor¬mation such as brain activities, facial expressions, or the level of users excitement. This in¬formation correlates with scenes the users watch in a video. Thus, it can be used for anno¬tating 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. | de_DE |
dc.identifier.isbn | 978-3-486-71879-9 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/7794 | |
dc.language.iso | en | de_DE |
dc.publisher | Oldenbourg Verlag | |
dc.relation.ispartof | Mensch & Computer 2012: interaktiv informiert – allgegenwärtig und allumfassend!? | |
dc.subject | brain | de_DE |
dc.subject | video | de_DE |
dc.subject | annotation | de_DE |
dc.subject | BCI | de_DE |
dc.subject | implicit/explicit interaction | de_DE |
dc.title | MediaBrain: Annotating Videos based on Brain-Computer Interaction | de_DE |
dc.type | Text/Conference Paper | de_DE |
gi.citation.endPage | 272 | |
gi.citation.publisherPlace | München | |
gi.citation.startPage | 263 | de_DE |
gi.conference.sessiontitle | Videos und Interaktion | de_DE |
gi.document.quality | digidoc |
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