TAVE: Template-based Augmentation of Visual Effects to Human Actions in Videos
dc.contributor.author | Liu, Jingyuan | en_US |
dc.contributor.author | Zhou, Xuren | en_US |
dc.contributor.author | Fu, Hongbo | en_US |
dc.contributor.author | Tai, Chiew-Lan | en_US |
dc.contributor.editor | Fu, Hongbo and Ghosh, Abhijeet and Kopf, Johannes | en_US |
dc.date.accessioned | 2018-10-07T14:31:44Z | |
dc.date.available | 2018-10-07T14:31:44Z | |
dc.date.issued | 2018 | |
dc.description.abstract | We present TAVE, a framework that allows novice users to add interesting visual effects by mimicking human actions in a given template video, in which pre-defined visual effects have already been associated with specific human actions. Our framework is mainly based on high-level features of human pose extracted from video frames, and uses low-level image features as the auxiliary information. We encode an action into a set of code sequences representing joint motion directions and use a finite state machine to recognize the action state of interest. The visual effects, possibly with occlusion masks, can be automatically transferred from the template video to a target video containing similar human actions. | en_US |
dc.description.sectionheaders | Posters | |
dc.description.seriesinformation | Pacific Graphics Posters | |
dc.identifier.doi | 10.2312/pg.20181289 | |
dc.identifier.isbn | 978-3-03868-074-1 | |
dc.identifier.pages | 3-4 | |
dc.identifier.uri | https://doi.org/10.2312/pg.20181289 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pg20181289 | |
dc.publisher | The Eurographics Association | en_US |
dc.title | TAVE: Template-based Augmentation of Visual Effects to Human Actions in Videos | en_US |