Johannes Sorger, Peter Mindek, Peter Rautek, Eduard Gröller, Graham Johnson, Ivan Viola

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


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.
Original languageEnglish (US)
Title of host publicationProceedings of the 33rd Spring Conference on Computer Graphics - SCCG '17
PublisherAssociation for Computing Machinery (ACM)
ISBN (Print)9781450351072
StatePublished - Jan 18 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.


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