CLuster: Applications for smart clustering of free-hand sketches

Florian Perteneder, Martin Bresler, Eva-Maria Grossauer, Joanne Leong, Michael Haller

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Structuring and rearranging free-hand sketches on large interactive surfaces typically requires making multiple stroke selections. Without well-designed selection tools, this can be both time-consuming and fatiguing. Investigating the concept of automated clustering, we conducted a background study to understand the varying perspectives of how elements in sketches can be grouped. In response to these diverse user expectations, we present cLuster, a flexible, domain-independent clustering approach for free-hand sketches. Our approach is designed to accept an initial user selection, which is then used to calculate a linear combination of pre-trained perspectives in real-time. The remaining elements are then clustered. We demonstrate the utility of our approach in a variety of application scenarios.

Original languageEnglish
Title of host publicationProceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, CSCW 2016 Companion
Pages81-85
Number of pages5
ISBN (Electronic)9781450339506
DOIs
Publication statusPublished - 27 Feb 2016
EventUIST '15: Proceedings of the 28th annual ACM symposium on User interface software and technology - Charlotte, NC, United States
Duration: 8 Nov 201511 Nov 2015
http://uist.acm.org/uist2015/about

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume26-February-2016

Conference

ConferenceUIST '15: Proceedings of the 28th annual ACM symposium on User interface software and technology
CountryUnited States
CityCharlotte, NC
Period08.11.201511.11.2015
Internet address

Keywords

  • Cluster analysis
  • Free-hand sketching
  • Segmentation

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