Publikation: EdWordle : Consistency-Preserving Word Cloud Editing
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2018
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IEEE Transactions on Visualization and Computer Graphics. 2018, 24(1), pp. 647-656. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2017.2745859
Zusammenfassung
We present EdWordle, a method for consistently editing word clouds. At its heart, EdWordle allows users to move and edit words while preserving the neighborhoods of other words. To do so, we combine a constrained rigid body simulation with a neighborhood-aware local Wordle algorithm to update the cloud and to create very new forms of word clouds such as storytelling clouds in which the position of words is compact layouts. The consistent and stable behavior of EdWordle enables users to create carefully edited. We compare our approach with state-of-the-art methods and show that we can improve user performance, user satisfaction, as well as the layout itself.
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WANG, Yunhai, Xiaowei CHU, Chen BAO, Lifeng ZHU, Oliver DEUSSEN, Baoquan CHEN, Michael SEDLMAIR, 2018. EdWordle : Consistency-Preserving Word Cloud Editing. In: IEEE Transactions on Visualization and Computer Graphics. 2018, 24(1), pp. 647-656. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2017.2745859BibTex
@article{Wang2018-01EdWor-41126,
year={2018},
doi={10.1109/TVCG.2017.2745859},
title={EdWordle : Consistency-Preserving Word Cloud Editing},
number={1},
volume={24},
issn={1077-2626},
journal={IEEE Transactions on Visualization and Computer Graphics},
pages={647--656},
author={Wang, Yunhai and Chu, Xiaowei and Bao, Chen and Zhu, Lifeng and Deussen, Oliver and Chen, Baoquan and Sedlmair, Michael}
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<dc:contributor>Deussen, Oliver</dc:contributor>
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