Metamorphers
dc.contributor.author | Sorger, Johannes | |
dc.contributor.author | Mindek, Peter | |
dc.contributor.author | Rautek, Peter | |
dc.contributor.author | Gröller, Eduard | |
dc.contributor.author | Johnson, Graham | |
dc.contributor.author | Viola, Ivan | |
dc.date.accessioned | 2018-04-16T11:27:43Z | |
dc.date.available | 2018-04-16T11:27:43Z | |
dc.date.issued | 2018-01-18 | |
dc.identifier.citation | Sorger J, Mindek P, Rautek P, Gröller E, Johnson G, et al. (2017) Metamorphers. Proceedings of the 33rd Spring Conference on Computer Graphics - SCCG ’17. Available: http://dx.doi.org/10.1145/3154353.3154364. | |
dc.identifier.doi | 10.1145/3154353.3154364 | |
dc.identifier.uri | http://hdl.handle.net/10754/627524 | |
dc.description.abstract | In molecular biology, illustrative animations are used to convey complex biological phenomena to broad audiences. However, such animations have to be manually authored in 3D modeling software, a time consuming task that has to be repeated from scratch for every new data set, and requires a high level of expertise in illustration, animation, and biology. We therefore propose metamorphers: a set of operations for defining animation states as well as the transitions to them in the form of re-usable storytelling templates. The re-usability is two-fold. Firstly, due to their modular nature, metamorphers can be re-used in different combinations to create a wide range of animations. Secondly, due to their abstract nature, metamorphers can be re-used to re-create an intended animation for a wide range of compatible data sets. Metamorphers thereby mask the low-level complexity of explicit animation specifications by exploiting the inherent properties of the molecular data, such as the position, size, and hierarchy level of a semantic data subset. We demonstrate the re-usability of our technique based on the authoring and application of two animation use-cases to three molecular data sets. | |
dc.description.sponsorship | This project has been funded by the Vienna Science and Technology Fund (WWTF) through project VRG11-010 and was supported by the EC Marie Curie Career Integration Grant through project PCIG13-GA-2013-618680, as well as by the OeAD Scientific & Technological Agreement SK 14/2016 through the ManyViews project. The authors would like to extend their gratitude to Bara Kozlikova, Manuela Waldner, Martin Ilcik, and Wiktor Manczarski for their valuable input. | |
dc.publisher | Association for Computing Machinery (ACM) | |
dc.relation.url | https://dl.acm.org/citation.cfm?doid=3154353.3154364 | |
dc.rights | Archived with thanks to Proceedings of the 33rd Spring Conference on Computer Graphics - SCCG '17 | |
dc.subject | Animated transitions | |
dc.subject | Molecular visualization | |
dc.subject | Storytelling | |
dc.title | Metamorphers | |
dc.type | Conference Paper | |
dc.contributor.department | Visual Computing Center (VCC) | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.identifier.journal | Proceedings of the 33rd Spring Conference on Computer Graphics - SCCG '17 | |
dc.conference.date | 2017-05-15 to 2017-05-17 | |
dc.conference.name | 33rd Spring Conference on Computer Graphics, SCCG 2017 | |
dc.conference.location | Mikulov, CZE | |
dc.eprint.version | Publisher's Version/PDF | |
dc.contributor.institution | TU Wien, Vienna, Austria | |
dc.contributor.institution | Allen Institute for Cell Science | |
kaust.person | Rautek, Peter | |
refterms.dateFOA | 2018-06-14T05:51:32Z | |
dc.date.published-online | 2018-01-18 | |
dc.date.published-print | 2017 |