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dc.contributor.authorSorger, Johannes
dc.contributor.authorMindek, Peter
dc.contributor.authorRautek, Peter
dc.contributor.authorGröller, Eduard
dc.contributor.authorJohnson, Graham
dc.contributor.authorViola, Ivan
dc.date.accessioned2018-04-16T11:27:43Z
dc.date.available2018-04-16T11:27:43Z
dc.date.issued2018-01-18
dc.identifier.citationSorger 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.doi10.1145/3154353.3154364
dc.identifier.urihttp://hdl.handle.net/10754/627524
dc.description.abstractIn 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.sponsorshipThis 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.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttps://dl.acm.org/citation.cfm?doid=3154353.3154364
dc.rightsArchived with thanks to Proceedings of the 33rd Spring Conference on Computer Graphics - SCCG '17
dc.subjectAnimated transitions
dc.subjectMolecular visualization
dc.subjectStorytelling
dc.titleMetamorphers
dc.typeConference Paper
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalProceedings of the 33rd Spring Conference on Computer Graphics - SCCG '17
dc.conference.date2017-05-15 to 2017-05-17
dc.conference.name33rd Spring Conference on Computer Graphics, SCCG 2017
dc.conference.locationMikulov, CZE
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionTU Wien, Vienna, Austria
dc.contributor.institutionAllen Institute for Cell Science
kaust.personRautek, Peter
refterms.dateFOA2018-06-14T05:51:32Z
dc.date.published-online2018-01-18
dc.date.published-print2017


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