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Smoothness preserving layout for dynamic labels by hybrid optimization

Stable label movement and smooth label trajectory are critical for effective information understanding. Sudden label changes cannot be avoided by whatever forced directed methods due to the unreliability of resultant force or global optimization methods due to the complex trade-off on the different...

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Detalles Bibliográficos
Autores principales: He, Yu, Zhao, Guo-Dong, Zhang, Song-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tsinghua University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549603/
https://www.ncbi.nlm.nih.gov/pubmed/34721936
http://dx.doi.org/10.1007/s41095-021-0231-y
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author He, Yu
Zhao, Guo-Dong
Zhang, Song-Hai
author_facet He, Yu
Zhao, Guo-Dong
Zhang, Song-Hai
author_sort He, Yu
collection PubMed
description Stable label movement and smooth label trajectory are critical for effective information understanding. Sudden label changes cannot be avoided by whatever forced directed methods due to the unreliability of resultant force or global optimization methods due to the complex trade-off on the different aspects. To solve this problem, we proposed a hybrid optimization method by taking advantages of the merits of both approaches. We first detect the spatial-temporal intersection regions from whole trajectories of the features, and initialize the layout by optimization in decreasing order by the number of the involved features. The label movements between the spatial-temporal intersection regions are determined by force directed methods. To cope with some features with high speed relative to neighbors, we introduced a force from future, called temporal force, so that the labels of related features can elude ahead of time and retain smooth movements. We also proposed a strategy by optimizing the label layout to predict the trajectories of features so that such global optimization method can be applied to streaming data. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s41095-021-0231-y.
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spelling pubmed-85496032021-10-27 Smoothness preserving layout for dynamic labels by hybrid optimization He, Yu Zhao, Guo-Dong Zhang, Song-Hai Comput Vis Media (Beijing) Research Article Stable label movement and smooth label trajectory are critical for effective information understanding. Sudden label changes cannot be avoided by whatever forced directed methods due to the unreliability of resultant force or global optimization methods due to the complex trade-off on the different aspects. To solve this problem, we proposed a hybrid optimization method by taking advantages of the merits of both approaches. We first detect the spatial-temporal intersection regions from whole trajectories of the features, and initialize the layout by optimization in decreasing order by the number of the involved features. The label movements between the spatial-temporal intersection regions are determined by force directed methods. To cope with some features with high speed relative to neighbors, we introduced a force from future, called temporal force, so that the labels of related features can elude ahead of time and retain smooth movements. We also proposed a strategy by optimizing the label layout to predict the trajectories of features so that such global optimization method can be applied to streaming data. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s41095-021-0231-y. Tsinghua University Press 2021-10-27 2022 /pmc/articles/PMC8549603/ /pubmed/34721936 http://dx.doi.org/10.1007/s41095-021-0231-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www.editorialmanager.com/cvmj.
spellingShingle Research Article
He, Yu
Zhao, Guo-Dong
Zhang, Song-Hai
Smoothness preserving layout for dynamic labels by hybrid optimization
title Smoothness preserving layout for dynamic labels by hybrid optimization
title_full Smoothness preserving layout for dynamic labels by hybrid optimization
title_fullStr Smoothness preserving layout for dynamic labels by hybrid optimization
title_full_unstemmed Smoothness preserving layout for dynamic labels by hybrid optimization
title_short Smoothness preserving layout for dynamic labels by hybrid optimization
title_sort smoothness preserving layout for dynamic labels by hybrid optimization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549603/
https://www.ncbi.nlm.nih.gov/pubmed/34721936
http://dx.doi.org/10.1007/s41095-021-0231-y
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